WO2007012198A1 - Guidance, navigation, and control system for a vehicle - Google Patents
Guidance, navigation, and control system for a vehicle Download PDFInfo
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- WO2007012198A1 WO2007012198A1 PCT/CA2006/001261 CA2006001261W WO2007012198A1 WO 2007012198 A1 WO2007012198 A1 WO 2007012198A1 CA 2006001261 W CA2006001261 W CA 2006001261W WO 2007012198 A1 WO2007012198 A1 WO 2007012198A1
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- vehicle
- path
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0231—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means
- G05D1/0238—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors
- G05D1/024—Control of position or course in two dimensions specially adapted to land vehicles using optical position detecting means using obstacle or wall sensors in combination with a laser
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/0274—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means using mapping information stored in a memory device
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
- G05D1/0291—Fleet control
- G05D1/0297—Fleet control by controlling means in a control room
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/202—Dispatching vehicles on the basis of a location, e.g. taxi dispatching
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/04—Conjoint control of vehicle sub-units of different type or different function including control of propulsion units
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W10/00—Conjoint control of vehicle sub-units of different type or different function
- B60W10/20—Conjoint control of vehicle sub-units of different type or different function including control of steering systems
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W2050/0001—Details of the control system
- B60W2050/0019—Control system elements or transfer functions
- B60W2050/0028—Mathematical models, e.g. for simulation
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2556/00—Input parameters relating to data
- B60W2556/45—External transmission of data to or from the vehicle
- B60W2556/50—External transmission of data to or from the vehicle of positioning data, e.g. GPS [Global Positioning System] data
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/40—Robotics, robotics mapping to robotics vision
- G05B2219/40555—Orientation and distance
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
- G05B2219/45—Nc applications
- G05B2219/45004—Mining
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0259—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means
- G05D1/0261—Control of position or course in two dimensions specially adapted to land vehicles using magnetic or electromagnetic means using magnetic plots
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
- G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
- G05D1/0268—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means
- G05D1/027—Control of position or course in two dimensions specially adapted to land vehicles using internal positioning means comprising intertial navigation means, e.g. azimuth detector
Definitions
- the present invention is related to guidance, navigation, and control methods for a vehicle that allows the vehicle to be taught a route by a human operator (either manually or through tele-operation) and then have it automatically drive the route with no human intervention.
- Underground mining is a complex operation whose goal is to extract as much resource as possible at the lowest possible cost. For example, in many mines, a network of rooms and pillars is carved out to maximize the amount of extracted ore while maintaining adequate roof support in order to avoid cave- ins.
- the system disclosed is comprised of a signal generator for bouncing signals off walls, a receiver for receiving the return signals and determining the distance to the side walls of the passageway, a storage device containing a set of interlinking nodes that represent at least one path through the passageway environment (each node contains steering information), and a processor to compare the side wall distances and steer the vehicle according to the steering information in the interlinking nodes.
- the set of interlinking nodes is described as representing the topology of the passageway environment (e.g., straight, dead end, left corner, four-way intersection).
- the links indicate the connections between various passageway sections.
- the steering information that is said to be contained in the interlinking nodes is discrete in that it only directs the vehicle at a high-level whether to go straight, turn left, or turn right at each intersection.
- the lower-level task of steering to avoid hitting the walls is left to a reactive scheme that tries to center the vehicle in the passageway based on the distances to the side walls determined by the receiver.
- United States Patent No. 6,694,233 issued to Duff et al. discloses a system for relative vehicle navigation.
- the patent has three independent claims relating to localizing a vehicle without infrastructure, guiding a vehicle along a route without infrastructure, and a type of nodal map that can be used for localizing without infrastructure.
- the patent clearly defines a nodal map as a topological representation of a walled (i.e., passageway) environment.
- No metric information e.g., local metric submap
- systems similar to this that rely entirely on classifying tunnel topology to navigate have been shown to not operate robustly due to inevitable misclassifications of topology that occur in practice.
- the method for guiding the vehicle describes a specific approach using active contours, or snakes, to automatically generate a path for the vehicle on-the- fly. This on-the-fly path-planning is beyond the scope of the current application.
- Patent No. 2004/085968 issued to Makela discloses a method and control system for positioning a mine vehicle.
- the patent claims a method of counting the number of wheel revolutions and multiplying by a factor to obtain the distance traveled by the vehicle. It also claims a means of correcting the multiplication factor when the diameter of the wheel changes, which is beyond the scope of the current application.
- the current invention is comprised of an alternative system to guide, navigate, and control a mining vehicle operating in an underground passageway environment based on a geometric map representation.
- This system can help enable the overall goal of robust and reliable mine automation.
- the present invention provides an automation system for the problem of driving a transport vehicle through an underground mining environment.
- the system makes use of an on-board computer with a memory to which vehicle-mounted odometric sensors and rangefinder sensors are connected.
- a method for automating the operation of a self-propelled vehicle in a passageway environment the vehicle including one or more odometric sensors, one or more rangefinder sensors mounted on said vehicle, and a microprocessor including memory storage, said one or more odometric sensors and one or more rangefinder sensors being connected to said microprocessor, said vehicle being configured for microprocessor controlled operation with said microprocessor being interfaced with the vehicle's throttle/engine system, transmission system, braking system, and steering system, said method including the steps of: a) teaching said vehicle a route through said passageway environment by the steps of, i) conducting a training run of said route through said passageway environment by driving said vehicle through said passageway environment, and ii) acquiring raw sensor data
- the present invention also provides a self-propelled vehicle with a guidance, navigation and control system for automated operation in a passageway environment, comprising: a) a vehicle including one or more odometric sensors, one or more rangefinder sensors mounted on said vehicle, and a microprocessor including memory storage, said one or more odometric sensors and one or more rangefinder sensors being connected to said microprocessor, said vehicle being configured for microprocessor controlled operation with said microprocessor being interfaced with the vehicle's throttle/engine system, transmission system, and braking system through a drive control means to adjust a speed of travel of said vehicle, and said microprocessor being interfaced to the vehicle's steering system through a steering control means to adjust a direction of travel of said vehicle; b) teaching means including i) means for conducting a training run of a route through said passageway environment by driving said vehicle through said passageway environment, and ii) data logging means to acquire raw sensor data from said one or more odometric sensors and said one or more rangefinder sensors during said training run of
- the system is comprised of methods for a) teaching a route through a passageway environment and logging data from sensors to a memory, b) processing the logged data into a route profile (comprised of a vehicle path, a sequence of local metric submaps along the path, and a speed profile defined as a function of distance along the path), and c) playing back the profiled route automatically using a control system.
- a route profile comprised of a vehicle path, a sequence of local metric submaps along the path, and a speed profile defined as a function of distance along the path
- the purpose of the teaching method is to allow an operator to define the route to be subsequently played back. This could be done, for example, by having the operator manually drive the vehicle (e.g., manutram) or remotely drive the vehicle (e.g., tele-operation).
- a data logging system records information from odometric sensors (e.g., drive-shaft encoder and hinge-angle encoder) and rangefinder sensors (e.g., SICK Optic Laser Scanner) to a log file, which resides on the memory of the on-board computer.
- the profiling method is used to process the raw sensor data contained in the log file into a route profile which is comprised of a vehicle path, a sequence of local metric submaps located along and defined relative to the path, and a speed profile defined as a function of the distance along the path.
- the path itself is generated using the data from the odometric sensors and a kinematics model of the vehicle.
- the local submaps are generated using both the odometric sensor data and the rangefinder sensor data.
- the current application discloses a different method of representing a map of the passageway environment, using a sequence of local metric submaps, which better represents the raw shape of the passageways and can offer better vehicle localization in an unstructured passageway environment than other systems that use topological representations.
- metric maps are used, it is a sequence of these maps attached along the vehicle's path that forms the overall route profile; which is to say, the system does not rely on one monolithic map and an absolute frame of reference.
- This approach is far more flexible than a system that must recognize tunnel topology in that it will work regardless of the shape of the walls, so long as the maps are of sufficient resolution.
- the speed profile is generated automatically to suit the particular vehicle path. For example, lower speeds are assigned to sections of the path with higher curvature such that during playback the vehicle will slow down in corners.
- the route profiling method could be executed using the on-board computer or the data log file could be moved to an off-board computer for processing and the resulting route profile file returned to the onboard computer memory for playback.
- the playback method is used to automatically drive the vehicle along the route represented by the route profile. It is further comprised of a) a localization method to determine the longitudinal, lateral, and heading errors of said vehicle with respect to the path by comparing data from said odometric sensors and said rangefinder sensors to said local submaps stored in said route profile, b) a speed estimation method to determine the speed of said vehicle from said odometric sensors, c) a steering control method to ensure said vehicle closely tracks said path stored in said route profile by using said lateral and heading errors and knowledge of said vehicle's characteristic dynamics, d) a drive control method to ensure said vehicle closely tracks said speed profile stored in said route profile by using said speed estimation method and knowledge of said vehicle's dynamics, e) a safety method to detect unexpected obstructions along said path using said rangefinder sensor and to stop said vehicle
- the present invention uses a localization method which specifically estimates both orientation and position of vehicles with respect to the path.
- the present localization method disclosed herein incorporates odometric sensors for dead-reckoning and rangefinder sensors for correcting said dead- reckoning using the local metric submaps located along the vehicle path in the route profile.
- Figure 1 shows a preferable configuration of the sensors on a schematic load-haul-dump mining vehicle
- Figure 2 shows the operational steps of teaching, route profiling, and playback
- Figure 3 shows the typical maneuvers involved in a route for a mining vehicle
- Figure 4 provides an example of the information stored in a route profile
- Figure 5 shows the architecture of the playback control system
- Figure 6 shows the how the rangefinder data is used to help determine the position and orientation of the vehicle with respect to the desired path.
- passageway environment means any space where vehicles might travel that contains walls, barriers, or obstacles such that said vehicles must travel amongst these objects.
- Examples of passageway environments include streets among buildings, building hallways, office spaces, underground mines, tunnels, caves, etc.
- maps it is assumed that passageway environments can be represented by maps.
- a "map" refers to a representation of a region of a passageway environment.
- metric map means a map in which the notion of distances between points on the map is defined.
- topological map means a map in which the notion of distances between points on the map is not defined.
- a "consistent map” refers to a map in which: a) no two (or more) points on the map represent the same point in the physical environment; b) no one point in the map represents two (or more) points in the physical environment; and c) if the map is a "metric map", the distance between any two points is approximately correct (but scaled) in the map.
- the phrases “local map” and “local submap” both mean a map of a particular region of an environment that is consistent in the region expressed by the map.
- the phrase “local metric submap” means a metric map of a particular region of an environment that is consistent in the region expressed by the map.
- global map or “globally consistent map” both mean a map of an environment that is consistent in the region expressed by the map, but which may have been created by combining one or more local maps.
- a local map is a global map in the region it expresses.
- range sensing device means a device for accurately measuring the distance to targets within a certain viewing scope of the device.
- the distance measurements can be based on any of a number of principles, including time-of-flight, triangulation, phase difference, etc.
- a “scan” refers to a set of distance data collected from the range sensing device at a particular instance.
- rangefinder is sometimes used as a synonym to “range sensing device”
- laser rangefinder is a range sensing device that uses lasers and the time-of-flight principle to measure distance.
- position and orientation refers to an object's coordinates with respect to a fixed point together with its alignment (or bearing) with respect to a fixed axis.
- position and orientation of a vehicle in a passageway environment might be the coordinates of a point on the vehicle together with the bearing of the vehicle (e.g., in degrees).
- the word “pose” is used as a short form for "position and orientation.”
- kinematics model and “vehicle kinematics” typically refer to a model for the vehicle that considers only the rate of change of the vehicle's configuration. This is in contrast to a “dynamics model” or “vehicle dynamics,” which typically consider the forces and resulting accelerations that describe the vehicle's motion. In the same way, the words “kinematics” and “dynamics” are also used to describe the characteristics of different models for individual vehicle components or subsystems, such as actuators.
- inertial measurement unit means a device that comprises both accelerometers, for measuring acceleration along perpendicular axes, and angular rate sensors (e.g., gyroscopes), for measuring the pitch, roll, and yaw rates of the body to which the sensors are affixed.
- accelerometers for measuring acceleration along perpendicular axes
- angular rate sensors e.g., gyroscopes
- the phrase "odometric sensor(s)” means a device used to estimate the position and orientation of a vehicle using “dead-reckoning”.
- This dead-reckoned estimate is obtained by incrementally adding to a known initial position and orientation and can be based on data from one or more sensors, including data from an inertial measurement unit, optical encoders, toothed-gear and hall-effect sensor pairs, and a hinge-angle sensor.
- this dead-reckoned estimate can use knowledge about the vehicle's kinematics to fuse data from the one or more odometric sensors.
- odometry is sometimes used as a short form for "estimate of vehicle position and orientation using odometric sensors”.
- path means a continuous set of points in a passageway environment that is traced out by a reference point on a vehicle during movement.
- route is used as a synonym for
- the present invention provides an automation system for the problem of driving a vehicle 10 as depicted in Figure 1 through an underground mining environment defined by mine walls 17 and 18. As depicted in Figure 2, there are three main operational steps to the invention: teaching, route profiling, and playback. Teaching
- a vehicle 10 for underground mining applications includes a front section 12 with wheels 14 and a rear section 16 having wheels 18, an operator cab 15 and a bucket 13 for carrying ore mounted to the front of front section 12.
- One or more rangefinder sensors e.g., laser rangefinders
- rangefinder 20 mounted in the rear vehicle section 16 and a rangefinder 22 mounted in front section 12 of vehicle 10 are used to generate a profile of ranges around vehicle 10.
- a computer processor 26 mounted on vehicle 10 is connected to rangefinders 20 and 22 for acquiring the range data from the rangefinders.
- the vehicle 10 includes one or more odometric sensors and may include for example wheel encoders 30 for measuring the rotation of the wheels 18.
- Wheels 14 of front vehicle section 12 may include wheel encoders as well (not shown).
- a hinge 34 connecting vehicle sections 12 and 16 may include steering sensors 36.
- lnertial measurement units may also be incorporated into vehicle 10 and computer processor 26 is configured to acquire data from the various odometric sensors.
- Cameras 40 may be mounted on the vehicle for image acquisition for remote operation of vehicle 10 for example.
- the vehicle 10 also optionally includes a radio receiver and computer processing means 26 may be configured to acquire information relating to radio frequency identification (RFID) tags as well to acquire information relating to communication infrastructure (e.g., signal strength to wireless Ethernet nodes).
- Vehicle 10 also preferably includes a capability to acquire information relating to the pitch/roll of the vehicle (e.g., from inclinometer sensors mounted on strategic parts of the vehicle), transmission gear of the vehicle, engine speed of the vehicle, and if present, pressures in any hydraulic cylinders required to steer the vehicle 10, and a means to determine the acquisition times of all the aforementioned data and store them in the onboard memory of said computer processor 26 in a log file.
- RFID radio frequency identification
- a route can be comprised of a number of different maneuvers for the vehicle including: tramming forwards, tramming backwards, switching directions, turning, and pausing to carry out activities.
- a typical route will be between 30 meters and 3 kilometers in length but the present invention is not limited to any particular length of route.
- the route is defined by driving the vehicle 10 along it and logging all the available sensor data to a file.
- the vehicle 10 could be driven manually, wherein an operator sits in the cab 15 of the vehicle ( Figure 1 ) and uses the vehicle's manual controls to operate the vehicle 10.
- the operator could drive the vehicle remotely either by line-of-sight or tele- operation using cameras 40 mounted on the vehicle 10.
- Remote operation requires the use of remote controls, which could include the use of a tele- operation station with a screen to display the output of vehicle-mounted cameras and similar controls to those found in the vehicle cab to operate the vehicle.
- the teaching should not require the operator to perform any actions in addition to those actions required to normally operate the vehicle 10 from the cab, with the exception of starting the data logging system before commencing the route and stopping the data logging system after completing the route.
- Route Profiling The present system includes a route profiling method to create a route profile of a passageway environment from one or more logs.
- a log is a file on a mass storage device accessible by the vehicle's computer processor 26, which contains time-stamped sensor readings that were recorded during a teaching run along the route.
- the profiling method is used to process the raw sensor data contained in the log file into a route profile which is comprised of a vehicle path 1 , a sequence of local metric submaps 2 located along and defined relative to the path, and a speed profile 3 defined as a function of the distance along the path.
- the path 1 itself is determined using the logged data from the odometric sensors and a kinematics model.
- a hinge angle sensor and wheel odometer may be used to estimate the vehicle's hinge angle rate and translational speeds, respectively.
- the kinematics model consists of a mathematical relationship (i.e., an ordinary differential equation) that relates the logged hinge angle rate and translational speed to the position and orientation of the vehicle, as expressed in a frame of reference ( Figure 4).
- the path itself is a contiguous set of points visited by a reference point on the vehicle during movement. Due to the nature of wheeled vehicles, the path is always tangent to the direction of vehicle motion. This approach to determining the vehicle path can be classified as
- the local metric submaps 2 are determined using both the odometric sensor data and the rangefinder sensor data.
- the current application discloses a different method of representing a map of the passageway environment than has been done before, using the sequence of local metric submaps, which better represents the raw shape of the passageways and can offer better vehicle localization in a passageway environment than other systems that use topological representations.
- metric maps are used, it is a sequence of these maps attached along the vehicle's path that forms the overall route profile; which is to say, the system does not rely on one monolithic map and an absolute frame of reference in which to express maps.
- the path is expressed in a particular frame of reference, but the local metric submaps are expressed relative to the path rather than being expressed in a particular frame of reference.
- This approach is far more flexible than a system that must recognize tunnel topology in that it will work regardless of the shape of the walls, so long as the local metric maps are of sufficient resolution.
- the local submaps are grids of cells, wherein each cell takes on a value of either 'occupied' or 'not occupied'.
- a cell is assigned to be 'occupied' if the region of the passageway environment represented by the cell contains an obstacle, such as a wall or other object.
- a cell is assigned to be 'not occupied' if the region it represents contains free space that is possibly traversable by the vehicle.
- This type of submap is sometimes called an occupancy grid.
- the resolution of the cells is at the centimeter scale.
- the laser rangefinder sensor readings logged while the vehicle was on the segment of the path contained within the boundary of the local submap are used to determine the cell values for the local submap. This is done through the use of a standard ray-tracing algorithm to mark those cells from the vehicle position out to the measured rangefinder reading as 'not occupied' and cells a short distance beyond as 'occupied'.
- a tally is taken of the cell values over all the laser data used for each local submap and the final cell value determined by using the most common value for that cell. This approach allows an arbitrarily shaped environment to be represented.
- Passageways are particularly well represented using this approach but there is no need to restrict the type of environment to only passageways.
- the path is such that in reality it crosses itself (e.g., a closed loop or backtracking due to a direction switch) it is possible for two local submaps to represent the same portion of the environment. This is because we are not required to create a globally consistent map.
- Such a globally consistent map might be needed for other applications beyond the scope of the current application, including higher- level functions such as path-planning of a vehicle or traffic management of a fleet of vehicles.
- the spacing and boundaries of the sequence of local metric submaps are constructed using knowledge of the sensing range of the rangefinder sensors and such that there is sufficient overlap in the regions expressed by contiguous local metric submaps. This is to ensure, when the vehicle switches from one map to the next, that data from its one or more rangefinder sensors always lie within the boundary of a local metric submap.
- the speed profile 3 serves to provide the target speed for the vehicle during playback at all points along the path. This is necessary to ensure the vehicle slows down along certain portions of the path including approaching direction switches, turns, and approaching the end of the path.
- the speed profile is generated automatically to suit the particular vehicle path using preprogrammed rules. High speeds are assigned to sections of the path that are relatively straight. Lower speeds are assigned to sections of the path with higher curvature such that during playback the vehicle will slow down in corners. In one embodiment, the curvature of the path is estimated using the kinematics model described above and the logged vehicle hinge angle along the path. Lower speeds can also be assigned to sections of the path that come close to the wall. The wall distance can be determined by the logged laser rangefinder data along the path.
- the speed profile is constructed so as to provide smooth accelerations from a stop and smooth decelerations to a stop.
- the speed profile also contains information pertaining to which transmission gear the vehicle should be using at each point on the path. If present in the log, information pertaining to RFID tags and communication infrastructure can also be included in the route profile all expressed as functions, of distance along the path.
- the route profiling method could be executed using the on-board computer or the data log file could be moved to an off-board computer for processing and the resulting route profile file returned to the on-board computer memory for playback. Playback
- a route has been taught using the teaching method described above and processed into a route profile using the route profiling method described above, the system is ready to play back the route.
- This is accomplished by way of a playback control system as depicted in Figure 2.
- the architecture of the playback control system is depicted in Figure 5. It is comprised of a localization method, a speed estimation method, a steering control method, a drive control method, and a safety method.
- Each of these steps serves an important function in the overall control system and each shall be described in detail below. It should be made clear that all of the collection of steps in the playback control system is executed repeatedly, at a high frequency (e.g., 10 to 100 times per second). This is necessary to quickly react to problems and ensure the vehicle plays back the route profile well.
- the first step is to use the localization method to determine where the vehicle is relative to the path contained in the route profile. This includes estimating the longitudinal distance along the path and the lateral and heading errors with respect to the path. When the vehicle is perfectly on the path and oriented so as to be parallel to the path's tangent, the lateral and heading errors are said to be zero. If the vehicle is slightly to one side of the path or the other, the lateral error is either positive (left) or negative (right). If the vehicle is slightly rotated with respect to the path's tangent, the heading error is either positive (anti-clockwise) or negative (clockwise). The lateral and heading errors determined by the localization method are passed to the steering control method.
- the localization method also serves to look up the desired speed for the vehicle using the estimate of its longitudinal position relative to the path (i.e., how far the vehicle is along the path).
- the desired speed is passed to the drive control method.
- the speed estimation method serves to measure the actual speed of the vehicle using sensors arid pass this speed estimate to the drive control method.
- the drive control method compares the actual speed to the desired speed and adjusts the drive commands sent to the vehicle so as to make the difference between the actual and desired speeds as small as possible.
- the steering control method adjusts the steering commands sent to the vehicle so as to make the lateral and heading errors as small as possible.
- the safety method acts as an independent check by looking for obstructions along the vehicle path and sending an emergency stop signal to the vehicle if such an obstruction is detected.
- the task of the localization method is to determine where the vehicle is relative to the path contained in the route profile. This includes estimating the longitudinal distance along the path and the lateral and heading errors with respect to the path. This is accomplished using the odometric sensors for dead-reckoning and rangefinder sensors for correcting said dead-reckoning using the local metric submaps located along the vehicle path in the route profile.
- a dead-reckoned estimate of the vehicle's position and orientation is determined using odometric sensors and a kinematics model for the vehicle, in a manner similar to that used for estimating the vehicle path described in the section on route profiling above.
- a hinge angle sensor and wheel odometer may be used to estimate the vehicle's hinge angle rate and translational speeds, respectively.
- the kinematics model comprises a mathematical relationship (i.e., an ordinary differential equation) that relates the logged hinge angle rate and translational speed to the position and orientation of the vehicle, as expressed in a frame of reference ( Figure 4).
- a correction method starts with this initial guess and refines it so as to ensure the sensor readings from the laser rangefinder are well-matched to the currently active local metric submap.
- This scenario is depicted in Figure 6, wherein the laser rangefinder sensor readings 3 have been aligned to the local metric submap 2.
- the local metric submap is defined with respect to the vehicle path 1 , it is a simple matter of geometry to determine the position and orientation of the vehicle with respect to the path. Referring to the example in Figure 6, we can see the (corrected) vehicle estimate is reasonably parallel to the path but shifted to the left of the path.
- the vehicle will have two laser rangefinders, one pointing forwards and one pointing backwards. In one form of the invention, only the laser rangefinder pointing in the direction of current movement is used to correct the vehicle position/orientation. In another form of the invention, both laser rangefinders are used.
- the squared error for an individual laser rangefinder range measurement is the square of the difference between the measured range and the expected range.
- the sum of squared errors is this quantity, summed over all the range measurements.
- a weighted sum of squared errors places more weight on some of the range measurements than others by considering the uncertainty associated with the individual sensor readings.
- the expected range is the range one would expect to measure from the dead- reckoned estimate of the vehicle position and orientation, using the local metric submap and a ray-tracing algorithm to probe along the scan line.
- the ray-tracing algorithm steps along the scan line outwards from the vehicle's rangefinder sensor location in the scan direction in small increments until an occupied grid cell is found on the local metric submap.
- the expected range is the distance from the vehicle's rangefinder sensor to the occupied grid cell.
- the popular Iterative Closest Point algorithm is used to perform the alignment.
- a particle filter is used to perform the alignment.
- a Kalman filter is used to perform the alignment.
- the identity of the currently active local metric submap is determined using the longitudinal position of the vehicle from the previous iteration of the control system (as defined in the playback overview above).
- a handoff scheme is used to ensure the system progresses through the sequence of local metric submaps as the vehicle moves along the path. Speed Estimation
- the speed estimation method serves to measure the actual translational speed of the vehicle using sensors and passes this speed estimate to the drive control method.
- a wheel encoder 30 is used to estimate the vehicle's longitudinal speed.
- the wheel encoder 30 is mounted on the wheel axle.
- the wheel encoder 30 is mounted on the drive shaft.
- the wheel encoder 30 is mounted on its own shaft equipped with a wheel and is held against the vehicle wheel using a spring.
- the speed is estimated by first estimating the distance traveled and then differentiating this signal. The distance traveled is estimated by multiplying the number of encoder revolutions by a calibrated factor. The calibrated factor is determined by driving the vehicle a known distance (as measured using, for example, a tape measure) in a straight line and dividing this distance by the number of resulting wheel encoder turns.
- the distance traveled is turned into a speed measurement using a differentiator.
- the differentiator takes the distance traveled over a short time interval and divides by this time interval.
- a filter is used to smooth out the speed estimate, which will inevitably be noisy due to the quantization introduced by the encoder and the time interval.
- the speed estimate is positive for forwards tramming and negative for backwards tramming.
- the estimated speed is passed to the drive control method for comparison with the desired speed.
- the drive control method is used to regulate the speed of the vehicle, similarly to the cruise control function in a standard automobile.
- the inputs required by the drive control method are an estimate of the vehicle's actual speed, which is provided by the speed estimation method described above, and the desired speed of the vehicle at the current distance along the path, which is provided by the localization method.
- the first step in this method is to compute the speed error, which is the difference of the desired vehicle speed and the actual vehicle speed. If the desired speed and the actual speed are the same, the speed error is zero.
- the drive control method then uses this speed error to alter the drive commands being sent to the vehicle.
- the drive commands are comprised of throttle brake, and possibly the transmissions gear.
- a standard controller is used to update the drive commands based on the current speed error.
- a gear-switching logic and a standard proportional-integral-derivative (PID) controller is used to update the drive commands based on the current speed error.
- the PID controller is derived based on knowledge of the vehicle's driveline dynamics including such components as engine dynamics, transmission and gear switching dynamics, torque converter dynamics, vehicle translational dynamics, passageway grade (as sensed by inclinometers), driveshaft-axle dynamics, and wheel-ground interaction dynamics. Knowledge of these dynamics is based on vehicle specifications and system identification.
- Key controller parameters can be adjusted once the drive control method is executing on the vehicle, so as to achieve the desired response of the vehicle to a change in the desired speed. For example, the desired speed should be tracked as quickly as possible without the actual speed overshooting the desired speed.
- Steering Control The steering control method adjusts the steering commands sent to the vehicle so as to make the vehicle track the path defined in the route profile as closely as possible. This is accomplished by first receiving the lateral and heading errors from the localization method, as described above. When the vehicle is perfectly on the path and oriented so as to be parallel to the path's tangent, the lateral and heading errors are said to be zero.
- the lateral error is either positive (left) or negative (right). If the vehicle is slightly rotated with respect to the path's tangent the heading error is either positive (anti-clockwise) or negative (clockwise).
- the role of the steering control method is to use these lateral and heading errors to adjust the steering commands sent to the vehicle.
- the steering commands are comprised of a signal sent to a proportional hydraulic valve which in turn causes hydraulic cylinders to actuate the hinge joint.
- a path- tracking controller is used to update the steering commands based on the current lateral and heading errors.
- the path-tracking controller is derived based on knowledge of the vehicle's steering kinematics and dynamics including such components as hydraulic dynamics (i.e., steering valve, steering cylinders, hydraulic pump, pressure relief valves), vehicle rotational dynamics, and wheel-ground interaction dynamics. Knowledge of these kinematics and dynamics is based on vehicle specifications and system identification. Key controller parameters can be adjusted once the steering control method is executing on the vehicle so as to achieve the desired response of the vehicle when tracking a path. For example, the vehicle should not oscillate or wobble about the path and should not take turns too widely.
- the safety method acts as an independent check by looking for obstructions along the vehicle path and sending an emergency stop signal to the vehicle if such an obstruction is detected. This is accomplished by monitoring the sensor readings from the laser rangefinders, particularly from the sensor pointing in the direction of travel of the mining vehicle.
- a fixed region is defined relative to the vehicle a distance ahead of the vehicle and any laser rangefinders sensor readings that fall within this region indicate an obstruction.
- a dynamic region is used wherein the vehicle looks further ahead along the path for obstructions when its speed is higher.
- an obstruction is indicated when the actual laser rangefinder sensor readings and the expected laser rangefinder sensor readings, as determined using the local metric submap, differ by a predetermined amount.
- an emergency stop signal is sent to the vehicle in the event an obstruction is detected, which should fully engage the brakes, set the throttle to zero, and put vehicle in neutral.
- the safety method could be considered part of an overall safety system for autotramming. Although this safety method provides an independent check, additional measures such as looking for the presence and/or absence of signals arising from RFID tags/readers and/or communication infrastructure access points can help to confirm the position/orientation information generated by the localization method described herein.
- the guidance, navigation, and control system for a mining vehicle disclosed herein is very advantageous because of its ability to enable operatorless and infrastructureless tramming through underground passageways, thereby reducing the risk and cost of tramming when compared to manual operations.
- the terms “comprises”, “comprising”, “including” and “includes” are to be construed as being inclusive and open - ended. Specifically, when used in this document, the terms “comprises”, “comprising”, “including”, “includes” and variations thereof, mean the specified features, steps or components are included in the described invention. These terms are not to be interpreted to exclude the presence of other features, steps or components.
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Priority Applications (7)
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AT06761202T ATE504872T1 (en) | 2005-07-26 | 2006-07-26 | GUIDANCE, NAVIGATION AND CONTROL SYSTEM FOR A VEHICLE |
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CA2616613A CA2616613C (en) | 2005-07-26 | 2006-07-26 | Guidance, navigation, and control system for a vehicle |
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US13/209,247 US8260483B2 (en) | 2005-07-26 | 2011-08-12 | Guidance, navigation, and control system for a vehicle |
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Cited By (40)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010149851A1 (en) | 2009-06-24 | 2010-12-29 | Sandvik Mining And Construction Oy | Determination of route for arranging automatic control of mobile mining machine |
WO2010149853A1 (en) | 2009-06-24 | 2010-12-29 | Sandvik Mining And Construction Oy | Determination of routes for arranging automatic control of mobile mining machine |
WO2011010226A1 (en) * | 2009-07-22 | 2011-01-27 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
DE212010000094U1 (en) | 2009-06-24 | 2012-03-30 | Sandvik Mining And Construction Oy | Teach a model for automatic control of a mobile mining machine |
CN102803618A (en) * | 2009-06-24 | 2012-11-28 | 山特维克矿山工程机械有限公司 | Definition of control data for automatic control of mobile mining machine |
US8473142B2 (en) | 2008-05-30 | 2013-06-25 | Atlas Copco Rock Drills Ab | Method and arrangement for calculating a conformity between an estimated representation of an environment and the actual environment |
US8625106B2 (en) | 2009-07-22 | 2014-01-07 | Faro Technologies, Inc. | Method for optically scanning and measuring an object |
US8699007B2 (en) | 2010-07-26 | 2014-04-15 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8699036B2 (en) | 2010-07-29 | 2014-04-15 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8705016B2 (en) | 2009-11-20 | 2014-04-22 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8705012B2 (en) | 2010-07-26 | 2014-04-22 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8719474B2 (en) | 2009-02-13 | 2014-05-06 | Faro Technologies, Inc. | Interface for communication between internal and external devices |
US8730477B2 (en) | 2010-07-26 | 2014-05-20 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
CN103901862A (en) * | 2014-04-11 | 2014-07-02 | 北京速力科技有限公司 | Ground remote control system for downhole electric locomotives |
US8830485B2 (en) | 2012-08-17 | 2014-09-09 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8896819B2 (en) | 2009-11-20 | 2014-11-25 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8924143B2 (en) | 2010-05-10 | 2014-12-30 | Sandvik Mining And Construction Oy | Method and apparatus for arranging mining vehicle positioning |
US9009000B2 (en) | 2010-01-20 | 2015-04-14 | Faro Technologies, Inc. | Method for evaluating mounting stability of articulated arm coordinate measurement machine using inclinometers |
US9074878B2 (en) | 2012-09-06 | 2015-07-07 | Faro Technologies, Inc. | Laser scanner |
US9074883B2 (en) | 2009-03-25 | 2015-07-07 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US9113023B2 (en) | 2009-11-20 | 2015-08-18 | Faro Technologies, Inc. | Three-dimensional scanner with spectroscopic energy detector |
US9210288B2 (en) | 2009-11-20 | 2015-12-08 | Faro Technologies, Inc. | Three-dimensional scanner with dichroic beam splitters to capture a variety of signals |
USRE45854E1 (en) | 2006-07-03 | 2016-01-19 | Faro Technologies, Inc. | Method and an apparatus for capturing three-dimensional data of an area of space |
US9279662B2 (en) | 2012-09-14 | 2016-03-08 | Faro Technologies, Inc. | Laser scanner |
US9329271B2 (en) | 2010-05-10 | 2016-05-03 | Faro Technologies, Inc. | Method for optically scanning and measuring an environment |
US9372265B2 (en) | 2012-10-05 | 2016-06-21 | Faro Technologies, Inc. | Intermediate two-dimensional scanning with a three-dimensional scanner to speed registration |
US9417056B2 (en) | 2012-01-25 | 2016-08-16 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US9417316B2 (en) | 2009-11-20 | 2016-08-16 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
CN105892397A (en) * | 2016-06-12 | 2016-08-24 | 河北钢铁集团矿业有限公司 | Unmanned transportation system of underground electric locomotive |
US9513107B2 (en) | 2012-10-05 | 2016-12-06 | Faro Technologies, Inc. | Registration calculation between three-dimensional (3D) scans based on two-dimensional (2D) scan data from a 3D scanner |
US9529083B2 (en) | 2009-11-20 | 2016-12-27 | Faro Technologies, Inc. | Three-dimensional scanner with enhanced spectroscopic energy detector |
US9551575B2 (en) | 2009-03-25 | 2017-01-24 | Faro Technologies, Inc. | Laser scanner having a multi-color light source and real-time color receiver |
US9594376B2 (en) | 2011-11-18 | 2017-03-14 | Atlas Copco Rock Drills Ab | Method and system for driving a mining and/or construction machine in a safe manner without the risk of collision |
US9628775B2 (en) | 2010-01-20 | 2017-04-18 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine having a 2D camera and method of obtaining 3D representations |
US10060722B2 (en) | 2010-01-20 | 2018-08-28 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine having a 2D camera and method of obtaining 3D representations |
US10067231B2 (en) | 2012-10-05 | 2018-09-04 | Faro Technologies, Inc. | Registration calculation of three-dimensional scanner data performed between scans based on measurements by two-dimensional scanner |
US10175037B2 (en) | 2015-12-27 | 2019-01-08 | Faro Technologies, Inc. | 3-D measuring device with battery pack |
US10281259B2 (en) | 2010-01-20 | 2019-05-07 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine that uses a 2D camera to determine 3D coordinates of smoothly continuous edge features |
US10343680B2 (en) | 2011-11-18 | 2019-07-09 | Epiroc Rock Drills Aktiebolag | Method and system for driving a mining and/or construction machine |
EP3795798A1 (en) | 2019-09-20 | 2021-03-24 | Sandvik Mining and Construction Oy | Positioning of mobile device in underground worksite |
Families Citing this family (246)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US11835343B1 (en) * | 2004-08-06 | 2023-12-05 | AI Incorporated | Method for constructing a map while performing work |
US7409295B2 (en) * | 2004-08-09 | 2008-08-05 | M/A-Com, Inc. | Imminent-collision detection system and process |
US20060224318A1 (en) * | 2005-03-30 | 2006-10-05 | Wilson Robert C Jr | Trajectory prediction |
CA2634961A1 (en) * | 2005-12-30 | 2007-07-12 | Bhp Billiton Innovation Pty Ltd. | Waste disposal during pit mining |
US7620477B2 (en) * | 2006-07-05 | 2009-11-17 | Battelle Energy Alliance, Llc | Robotic intelligence kernel |
US7801644B2 (en) | 2006-07-05 | 2010-09-21 | Battelle Energy Alliance, Llc | Generic robot architecture |
US7587260B2 (en) * | 2006-07-05 | 2009-09-08 | Battelle Energy Alliance, Llc | Autonomous navigation system and method |
US8355818B2 (en) | 2009-09-03 | 2013-01-15 | Battelle Energy Alliance, Llc | Robots, systems, and methods for hazard evaluation and visualization |
US8271132B2 (en) * | 2008-03-13 | 2012-09-18 | Battelle Energy Alliance, Llc | System and method for seamless task-directed autonomy for robots |
US7974738B2 (en) * | 2006-07-05 | 2011-07-05 | Battelle Energy Alliance, Llc | Robotics virtual rail system and method |
US8965578B2 (en) * | 2006-07-05 | 2015-02-24 | Battelle Energy Alliance, Llc | Real time explosive hazard information sensing, processing, and communication for autonomous operation |
US8073564B2 (en) | 2006-07-05 | 2011-12-06 | Battelle Energy Alliance, Llc | Multi-robot control interface |
US7668621B2 (en) * | 2006-07-05 | 2010-02-23 | The United States Of America As Represented By The United States Department Of Energy | Robotic guarded motion system and method |
US8005100B2 (en) * | 2006-09-21 | 2011-08-23 | Active Control Technology Inc. | Network for confined hazardous or other extreme environments |
EP2074505A4 (en) | 2006-10-05 | 2010-01-13 | Splunk Inc | Time series search engine |
DE102006047131A1 (en) * | 2006-10-05 | 2008-04-10 | Robert Bosch Gmbh | Method for automatically controlling a vehicle |
US7814978B2 (en) | 2006-12-14 | 2010-10-19 | Halliburton Energy Services, Inc. | Casing expansion and formation compression for permeability plane orientation |
KR100910114B1 (en) * | 2007-07-09 | 2009-08-03 | 팅크웨어(주) | Navigation system and method for guiding speed limiting informaion by block |
US7742952B2 (en) * | 2008-03-21 | 2010-06-22 | Sunrise R&D Holdings, Llc | Systems and methods of acquiring actual real-time shopper behavior data approximate to a moment of decision by a shopper |
US7739157B2 (en) | 2008-01-15 | 2010-06-15 | Sunrise R&D Holdings, Llc | Method of tracking the real time location of shoppers, associates, managers and vendors through a communication multi-network within a store |
US7792710B2 (en) * | 2007-09-21 | 2010-09-07 | Sunrise R&D Holdings, Llc | Methods of influencing shoppers at the first moment of truth in a retail establishment |
US7734513B2 (en) * | 2007-07-13 | 2010-06-08 | Sunrise R&D Holdings, Llc | System of tracking the real time location of shoppers, associates, managers and vendors through a communication multi-network within a store |
US7783527B2 (en) * | 2007-09-21 | 2010-08-24 | Sunrise R&D Holdings, Llc | Systems of influencing shoppers at the first moment of truth in a retail establishment |
KR100883520B1 (en) * | 2007-07-23 | 2009-02-13 | 한국전자통신연구원 | Method and apparatus for providing indoor eco-map |
JP5114123B2 (en) * | 2007-07-24 | 2013-01-09 | トヨタ自動車株式会社 | In-vehicle device control system |
US7640975B2 (en) | 2007-08-01 | 2010-01-05 | Halliburton Energy Services, Inc. | Flow control for increased permeability planes in unconsolidated formations |
US20090062958A1 (en) * | 2007-08-31 | 2009-03-05 | Morris Aaron C | Autonomous mobile robot |
US20100204969A1 (en) * | 2007-09-19 | 2010-08-12 | United Technologies Corporation | System and method for threat propagation estimation |
US8775359B2 (en) * | 2007-09-19 | 2014-07-08 | Utc Fire & Security Corporation | System and method for occupancy estimation |
US8428918B2 (en) * | 2007-09-19 | 2013-04-23 | Utc Fire & Security Corporation | System and method for occupancy estimation |
US20100299116A1 (en) * | 2007-09-19 | 2010-11-25 | United Technologies Corporation | System and method for occupancy estimation |
WO2009038563A1 (en) * | 2007-09-20 | 2009-03-26 | United Technologies Corporation | Model-based egress support system |
US8103438B2 (en) | 2007-09-26 | 2012-01-24 | Trimble Navigation Limited | Method and system for automatically directing traffic on a site |
US8144000B2 (en) * | 2007-09-26 | 2012-03-27 | Trimble Navigation Limited | Collision avoidance |
US20090105939A1 (en) * | 2007-10-22 | 2009-04-23 | Toyota Motor Engineering & Manufacturing North America, Inc. | Vehicle navigation system with obstacle avoidance |
KR101372482B1 (en) * | 2007-12-11 | 2014-03-26 | 삼성전자주식회사 | Method and apparatus of path planning for a mobile robot |
US7832477B2 (en) | 2007-12-28 | 2010-11-16 | Halliburton Energy Services, Inc. | Casing deformation and control for inclusion propagation |
KR101457148B1 (en) * | 2008-05-21 | 2014-10-31 | 삼성전자 주식회사 | Apparatus for localizing moving robot and method the same |
US8396755B2 (en) | 2008-07-14 | 2013-03-12 | Sunrise R&D Holdings, Llc | Method of reclaiming products from a retail store |
US20100106344A1 (en) * | 2008-10-27 | 2010-04-29 | Edwards Dean B | Unmanned land vehicle having universal interfaces for attachments and autonomous operation capabilities and method of operation thereof |
US20100130230A1 (en) * | 2008-11-21 | 2010-05-27 | Qualcomm Incorporated | Beacon sectoring for position determination |
US9645225B2 (en) * | 2008-11-21 | 2017-05-09 | Qualcomm Incorporated | Network-centric determination of node processing delay |
US8892127B2 (en) | 2008-11-21 | 2014-11-18 | Qualcomm Incorporated | Wireless-based positioning adjustments using a motion sensor |
US20100135178A1 (en) | 2008-11-21 | 2010-06-03 | Qualcomm Incorporated | Wireless position determination using adjusted round trip time measurements |
US9125153B2 (en) * | 2008-11-25 | 2015-09-01 | Qualcomm Incorporated | Method and apparatus for two-way ranging |
US8886453B2 (en) | 2008-12-11 | 2014-11-11 | Telogis, Inc. | System and method for efficient routing on a network in the presence of multiple-edge restrictions and other constraints |
WO2010068627A1 (en) * | 2008-12-11 | 2010-06-17 | Telogis, Inc. | System and method for efficient routing on a network in the presence of multiple-edge restrictions and other constraints |
US8768344B2 (en) | 2008-12-22 | 2014-07-01 | Qualcomm Incorporated | Post-deployment calibration for wireless position determination |
US8750267B2 (en) * | 2009-01-05 | 2014-06-10 | Qualcomm Incorporated | Detection of falsified wireless access points |
US8315802B2 (en) * | 2009-02-11 | 2012-11-20 | Telogis, Inc. | Systems and methods for analyzing the use of mobile resources |
US8384776B2 (en) * | 2009-04-22 | 2013-02-26 | Toyota Motor Engineering And Manufacturing North America, Inc. | Detection of topological structure from sensor data with application to autonomous driving in semi-structured environments |
FI20095716L (en) * | 2009-06-24 | 2010-12-25 | Sandvik Mining & Constr Oy | Determining the data required for automatic control of a mobile mining machine |
CN102612678B (en) | 2009-08-14 | 2016-04-13 | 特洛吉斯有限公司 | Utilize the real-time map of data clusters, expansion and Overlapping display |
DE102009040800B4 (en) * | 2009-09-09 | 2017-03-23 | Knorr-Bremse Systeme für Nutzfahrzeuge GmbH | Device for controlling the speed of a vehicle with direct speed adjustment control element |
TW201113544A (en) * | 2009-10-06 | 2011-04-16 | Univ Nat Taiwan | Method to forecast location of object |
AU2010325793B2 (en) | 2009-12-04 | 2015-03-12 | Uber Technologies, Inc. | System and method for arranging transport amongst parties through use of mobile devices |
US9230292B2 (en) * | 2012-11-08 | 2016-01-05 | Uber Technologies, Inc. | Providing on-demand services through use of portable computing devices |
US9163922B2 (en) | 2010-01-20 | 2015-10-20 | Faro Technologies, Inc. | Coordinate measurement machine with distance meter and camera to determine dimensions within camera images |
JP5200297B2 (en) * | 2010-01-25 | 2013-06-05 | 株式会社小松製作所 | Vehicle traveling system and traveling method thereof |
US9280902B2 (en) | 2010-04-09 | 2016-03-08 | DSG TAG Systems, Inc. | Facilities management |
US8836490B2 (en) | 2010-04-09 | 2014-09-16 | Dsg Tag Systems Inc. | Vehicle management |
US8781492B2 (en) | 2010-04-30 | 2014-07-15 | Qualcomm Incorporated | Device for round trip time measurements |
FI122157B (en) * | 2010-05-10 | 2011-09-15 | Sandvik Mining & Constr Oy | Method and equipment for mining vehicle safety equipment |
US8260539B2 (en) * | 2010-05-12 | 2012-09-04 | GM Global Technology Operations LLC | Object and vehicle detection and tracking using 3-D laser rangefinder |
FI124051B (en) * | 2010-05-25 | 2014-02-28 | Sandvik Mining & Constr Oy | Rock drilling rig and method of parking it |
WO2011160731A1 (en) * | 2010-06-23 | 2011-12-29 | Tomtom International B.V. | An electronic map creation process |
US8275508B1 (en) | 2011-03-03 | 2012-09-25 | Telogis, Inc. | History timeline display for vehicle fleet management |
US8972149B2 (en) | 2010-10-27 | 2015-03-03 | Caterpillar Inc. | Control system implementing derate based on air characteristics |
US9168654B2 (en) | 2010-11-16 | 2015-10-27 | Faro Technologies, Inc. | Coordinate measuring machines with dual layer arm |
US8751103B2 (en) * | 2010-11-22 | 2014-06-10 | Caterpillar Inc. | Object detection system having interference avoidance strategy |
US8744693B2 (en) * | 2010-11-22 | 2014-06-03 | Caterpillar Inc. | Object detection system having adjustable focus |
KR20120072124A (en) * | 2010-12-23 | 2012-07-03 | 한국전자통신연구원 | Method for generating indoor digital map |
US8744644B2 (en) * | 2011-01-19 | 2014-06-03 | Electronics And Telecommunications Research Institute | Apparatus and method for detecting location of vehicle |
AU2012243484B2 (en) * | 2011-04-11 | 2014-10-30 | Crown Equipment Corporation | Method and apparatus for efficient scheduling for multiple automated non-holonomic vehicles using a coordinated path planner |
US11334092B2 (en) * | 2011-07-06 | 2022-05-17 | Peloton Technology, Inc. | Devices, systems, and methods for transmitting vehicle data |
WO2013014612A1 (en) | 2011-07-27 | 2013-01-31 | International Business Machines Corporation | Multi-modal journey planner |
AU2012289908B2 (en) | 2011-08-03 | 2016-10-06 | Joy Global Underground Mining Llc | Automated operations of a mining machine |
US9208689B2 (en) | 2011-08-19 | 2015-12-08 | Aerovironment Inc. | Deep stall aircraft landing |
US9511858B2 (en) | 2011-08-19 | 2016-12-06 | Aerovironment, Inc. | Inverted-landing aircraft |
US20140058634A1 (en) | 2012-08-24 | 2014-02-27 | Crown Equipment Limited | Method and apparatus for using unique landmarks to locate industrial vehicles at start-up |
US8783784B2 (en) | 2011-08-27 | 2014-07-22 | Logan Hydraulics Co. | Material and equipment recovery system |
US20130060456A1 (en) * | 2011-09-02 | 2013-03-07 | Peyman Pourparhizkar | Synchronizing car movements in road to reduce traffic |
US9056754B2 (en) | 2011-09-07 | 2015-06-16 | Crown Equipment Limited | Method and apparatus for using pre-positioned objects to localize an industrial vehicle |
US9230232B2 (en) | 2011-09-20 | 2016-01-05 | Telogis, Inc. | Vehicle fleet work order management system |
US8905487B2 (en) | 2011-10-28 | 2014-12-09 | Robert Wayne Graham | Mine equipment recovery system |
US10050330B2 (en) | 2011-12-05 | 2018-08-14 | Adasa Inc. | Aerial inventory antenna |
US11093722B2 (en) | 2011-12-05 | 2021-08-17 | Adasa Inc. | Holonomic RFID reader |
US9747480B2 (en) | 2011-12-05 | 2017-08-29 | Adasa Inc. | RFID and robots for multichannel shopping |
US10476130B2 (en) | 2011-12-05 | 2019-11-12 | Adasa Inc. | Aerial inventory antenna |
US10846497B2 (en) | 2011-12-05 | 2020-11-24 | Adasa Inc. | Holonomic RFID reader |
US9780435B2 (en) | 2011-12-05 | 2017-10-03 | Adasa Inc. | Aerial inventory antenna |
KR20130068249A (en) * | 2011-12-15 | 2013-06-26 | 한국전자통신연구원 | Apparatus and method for strongness of tie evalution apparatus and method |
US9760092B2 (en) | 2012-03-16 | 2017-09-12 | Waymo Llc | Actively modifying a field of view of an autonomous vehicle in view of constraints |
EP2648060A1 (en) * | 2012-04-04 | 2013-10-09 | ABB Research Ltd. | A method for tracking a batch of material in a process for production of raw or semi-processed material |
SE537163C2 (en) | 2012-05-02 | 2015-02-24 | Atlas Copco Rock Drills Ab | Method and system for operating a mobile mining machine in a tunnel and a mobile mining machine |
SE536499C2 (en) * | 2012-05-28 | 2014-01-02 | Scania Cv Ab | Autonomous truck without cab and procedure for truck use |
US9669828B2 (en) | 2012-06-01 | 2017-06-06 | Toyota Motor Engineering & Manufacturing North America, Inc. | Cooperative driving and collision avoidance by distributed receding horizon control |
US20130339098A1 (en) | 2012-06-15 | 2013-12-19 | Telogis, Inc. | Vehicle fleet routing system |
US20130339266A1 (en) | 2012-06-15 | 2013-12-19 | Telogis, Inc. | Vehicle fleet routing system |
US8997362B2 (en) | 2012-07-17 | 2015-04-07 | Faro Technologies, Inc. | Portable articulated arm coordinate measuring machine with optical communications bus |
US9958272B2 (en) | 2012-08-10 | 2018-05-01 | Telogis, Inc. | Real-time computation of vehicle service routes |
JP2015535992A (en) * | 2012-09-24 | 2015-12-17 | キャタピラー インコーポレイテッドCaterpillar Incorporated | Control and inspection of mining operations |
US9406222B2 (en) * | 2012-10-18 | 2016-08-02 | Calamp Corp. | Systems and methods for location reporting of detected events in vehicle operation |
US9177404B2 (en) | 2012-10-31 | 2015-11-03 | Qualcomm Incorporated | Systems and methods of merging multiple maps for computer vision based tracking |
US8880301B2 (en) | 2012-11-14 | 2014-11-04 | Deere & Company | Torque control for front wheel drive |
US9056624B2 (en) * | 2012-11-14 | 2015-06-16 | Deere & Company | Front wheel drive control |
US10107831B2 (en) | 2012-11-21 | 2018-10-23 | Calamp Corp | Systems and methods for efficient characterization of acceleration events |
ES2476565B2 (en) * | 2012-12-14 | 2015-01-30 | Universidad De Alicante | Simultaneous location and mapping method for robotic devices |
CN103884330B (en) * | 2012-12-21 | 2016-08-10 | 联想(北京)有限公司 | Information processing method, mobile electronic equipment, guiding equipment and server |
US10466269B2 (en) | 2013-02-19 | 2019-11-05 | Calamp Corp. | Systems and methods for low latency 3-axis accelerometer calibration |
US8996224B1 (en) * | 2013-03-15 | 2015-03-31 | Google Inc. | Detecting that an autonomous vehicle is in a stuck condition |
US9008890B1 (en) | 2013-03-15 | 2015-04-14 | Google Inc. | Augmented trajectories for autonomous vehicles |
US8849494B1 (en) | 2013-03-15 | 2014-09-30 | Google Inc. | Data selection by an autonomous vehicle for trajectory modification |
US9677887B2 (en) | 2013-03-22 | 2017-06-13 | Qualcomm Incorporated | Estimating an initial position and navigation state using vehicle odometry |
CN104077311B (en) | 2013-03-28 | 2017-11-14 | 国际商业机器公司 | Vehicle location indexing means and device |
WO2014154223A1 (en) * | 2013-03-28 | 2014-10-02 | Osama Aziz El-Masry Ali Mohamed | Virtual traffic infrastructure system |
US9046371B2 (en) * | 2013-03-29 | 2015-06-02 | Modular Mining Systems, Inc. | Contention avoidance |
US9292017B2 (en) * | 2013-04-22 | 2016-03-22 | Dan Alan Preston | System and method for real-time guidance and mapping of a tunnel boring machine and tunnel |
US10353957B2 (en) | 2013-04-30 | 2019-07-16 | Splunk Inc. | Processing of performance data and raw log data from an information technology environment |
US10997191B2 (en) | 2013-04-30 | 2021-05-04 | Splunk Inc. | Query-triggered processing of performance data and log data from an information technology environment |
US10346357B2 (en) | 2013-04-30 | 2019-07-09 | Splunk Inc. | Processing of performance data and structure data from an information technology environment |
US10019496B2 (en) | 2013-04-30 | 2018-07-10 | Splunk Inc. | Processing of performance data and log data from an information technology environment by using diverse data stores |
US10225136B2 (en) | 2013-04-30 | 2019-03-05 | Splunk Inc. | Processing of log data and performance data obtained via an application programming interface (API) |
US10318541B2 (en) | 2013-04-30 | 2019-06-11 | Splunk Inc. | Correlating log data with performance measurements having a specified relationship to a threshold value |
US10614132B2 (en) | 2013-04-30 | 2020-04-07 | Splunk Inc. | GUI-triggered processing of performance data and log data from an information technology environment |
WO2015029234A1 (en) * | 2013-08-30 | 2015-03-05 | 株式会社小松製作所 | Management system for mining machinery and management method for mining machinery |
US9969283B2 (en) | 2013-09-10 | 2018-05-15 | General Electric Company | Battery changing system and method |
JP5839010B2 (en) * | 2013-09-11 | 2016-01-06 | トヨタ自動車株式会社 | Driving assistance device |
EP2851760A1 (en) * | 2013-09-19 | 2015-03-25 | Rigas Tehniska universitate | Multi-robot system |
US10185034B2 (en) | 2013-09-20 | 2019-01-22 | Caterpillar Inc. | Positioning system using radio frequency signals |
US20150097412A1 (en) * | 2013-10-09 | 2015-04-09 | Caterpillar Inc. | Determing an activity of a mobile machine |
JP5939226B2 (en) | 2013-10-16 | 2016-06-22 | トヨタ自動車株式会社 | Driving assistance device |
JP6263970B2 (en) * | 2013-11-11 | 2018-01-24 | 村田機械株式会社 | Data structure of autonomous traveling vehicle and planned traveling route data |
US9720410B2 (en) * | 2014-03-03 | 2017-08-01 | Waymo Llc | Remote assistance for autonomous vehicles in predetermined situations |
WO2015151734A1 (en) * | 2014-03-31 | 2015-10-08 | 株式会社小松製作所 | Mine management system |
CA2944404C (en) * | 2014-03-31 | 2018-12-04 | Komatsu Ltd. | Mine management system |
DE102014006417A1 (en) * | 2014-05-02 | 2015-11-05 | Jt-Elektronik Gmbh | Method for 3D laser scanning of sewer pipes and device suitable for this purpose |
EP2950114B1 (en) * | 2014-05-30 | 2020-03-04 | Honda Research Institute Europe GmbH | Method for assisting a driver in driving a vehicle, a driver assistance system, a computer software program product and vehicle |
US9402189B2 (en) * | 2014-07-02 | 2016-07-26 | Here Global B.V. | Method and apparatus for providing activity-based map job |
WO2016057421A1 (en) | 2014-10-06 | 2016-04-14 | Ecoserv Technologies, Llc | Apparatuses, systems, and methods for cleaning |
US9321441B1 (en) * | 2014-11-19 | 2016-04-26 | Robert Bosch Gmbh | GPS based learned control event prediction |
US9836661B2 (en) * | 2014-12-04 | 2017-12-05 | General Electric Company | System and method for collision avoidance |
WO2015102096A1 (en) * | 2014-12-26 | 2015-07-09 | 株式会社小松製作所 | Mining machine, management system for mining machine, and management method for mining machine |
US9616773B2 (en) | 2015-05-11 | 2017-04-11 | Uber Technologies, Inc. | Detecting objects within a vehicle in connection with a service |
DE102015006014A1 (en) | 2015-05-13 | 2016-11-17 | Universität Bielefeld | Soil cultivation device and method for its navigation and swarm of tillage equipment and methods for their joint navigation |
US9644977B2 (en) | 2015-05-22 | 2017-05-09 | Calamp Corp. | Systems and methods for determining vehicle operational status |
DE102015210015A1 (en) * | 2015-06-01 | 2016-12-01 | Robert Bosch Gmbh | Method and device for determining the position of a vehicle |
US10214166B2 (en) | 2015-06-11 | 2019-02-26 | Calamp Corp. | Systems and methods for impact detection with noise attenuation of a sensor signal |
GB2539676B (en) * | 2015-06-23 | 2020-11-25 | Bentley Motors Ltd | A method of controlling speed of a vehicle |
US11158010B2 (en) | 2015-08-31 | 2021-10-26 | International Business Machines Corporation | Incremental search based multi-modal journey planning |
US9575491B1 (en) | 2015-09-03 | 2017-02-21 | Caterpillar Underground Mining Pty Ltd | System and method for automated machine operation |
DE102015217389A1 (en) * | 2015-09-11 | 2017-03-16 | Robert Bosch Gmbh | Method and device for operating a vehicle |
DE102015218041A1 (en) * | 2015-09-21 | 2017-03-23 | Bayerische Motoren Werke Ag | Method and device for providing data for a geometry map for autonomous or automated driving of a vehicle |
SE542284C2 (en) * | 2015-10-01 | 2020-04-07 | Epiroc Rock Drills Ab | Method and system for assigning tasks to mining and/or construction machines |
SE542285C2 (en) * | 2015-10-01 | 2020-04-07 | Epiroc Rock Drills Ab | Method and system for assigning tasks to drill rigs |
CN105849586B (en) * | 2015-10-30 | 2018-11-09 | 株式会社小松制作所 | Control system, Work machine, its management system and the control method of Work machine |
JP6055120B2 (en) * | 2015-10-30 | 2016-12-27 | 株式会社小松製作所 | Work machine control system, work machine, work machine management system, work machine control method and program |
JP2017097402A (en) * | 2015-11-18 | 2017-06-01 | 株式会社明電舎 | Surrounding map preparation method, self-location estimation method and self-location estimation device |
US10890922B2 (en) * | 2015-11-19 | 2021-01-12 | Agjunction Llc | Automated multi-vehicle alignment steering |
DE102015223176A1 (en) * | 2015-11-24 | 2017-05-24 | Conti Temic Microelectronic Gmbh | Method and device for determining occlusion areas in the vehicle environment of a vehicle |
US10712160B2 (en) | 2015-12-10 | 2020-07-14 | Uatc, Llc | Vehicle traction map for autonomous vehicles |
US9840256B1 (en) | 2015-12-16 | 2017-12-12 | Uber Technologies, Inc. | Predictive sensor array configuration system for an autonomous vehicle |
US9841763B1 (en) | 2015-12-16 | 2017-12-12 | Uber Technologies, Inc. | Predictive sensor array configuration system for an autonomous vehicle |
WO2017109977A1 (en) * | 2015-12-25 | 2017-06-29 | 株式会社小松製作所 | Work machine control system, work machine, work machine management system, and work machine management method |
BR102016024151B1 (en) | 2016-01-06 | 2021-10-13 | Cnh Industrial America Llc | COMPUTER-READABLE TANGIBLE NON TRANSITIONAL MEDIUM, SYSTEM AND METHOD FOR CONTROLLING AT LEAST ONE STANDALONE AGRICULTURAL VEHICLE |
US11143509B2 (en) * | 2016-01-19 | 2021-10-12 | Signify Holding B.V. | Positioning based on illumination sources |
US10403151B2 (en) * | 2016-02-03 | 2019-09-03 | Caterpillar Inc. | Traffic system having congestion management |
US9990548B2 (en) | 2016-03-09 | 2018-06-05 | Uber Technologies, Inc. | Traffic signal analysis system |
US10989542B2 (en) | 2016-03-11 | 2021-04-27 | Kaarta, Inc. | Aligning measured signal data with slam localization data and uses thereof |
EP3427008B1 (en) * | 2016-03-11 | 2022-09-07 | Kaarta, Inc. | Laser scanner with real-time, online ego-motion estimation |
US11573325B2 (en) | 2016-03-11 | 2023-02-07 | Kaarta, Inc. | Systems and methods for improvements in scanning and mapping |
US11567201B2 (en) | 2016-03-11 | 2023-01-31 | Kaarta, Inc. | Laser scanner with real-time, online ego-motion estimation |
CA2962334C (en) * | 2016-03-29 | 2023-01-24 | Robert Lindsay Vanderbeck | Tunnel convergence detection apparatus and method |
US20170343371A1 (en) * | 2016-05-25 | 2017-11-30 | Here Global B.V. | Determining speed information |
US9880561B2 (en) | 2016-06-09 | 2018-01-30 | X Development Llc | Sensor trajectory planning for a vehicle |
US9820100B1 (en) * | 2016-06-17 | 2017-11-14 | Qualcomm Incorporated | Multi-source positioning |
US10739786B2 (en) | 2016-07-01 | 2020-08-11 | Uatc, Llc | System and method for managing submaps for controlling autonomous vehicles |
US10055909B2 (en) | 2016-07-08 | 2018-08-21 | Calamp Corp. | Systems and methods for crash determination |
US10395438B2 (en) | 2016-08-19 | 2019-08-27 | Calamp Corp. | Systems and methods for crash determination with noise filtering |
TW201807523A (en) * | 2016-08-22 | 2018-03-01 | 金寶電子工業股份有限公司 | Real-time navigating method for mobile robot |
US10108194B1 (en) | 2016-09-02 | 2018-10-23 | X Development Llc | Object placement verification |
JP6709578B2 (en) * | 2016-09-23 | 2020-06-17 | 株式会社小松製作所 | Work vehicle management system and work vehicle management method |
CN106383517B (en) * | 2016-09-30 | 2019-06-07 | 汕头大学 | A kind of autonomous mobile robot platform control system, method and device |
US10219117B2 (en) | 2016-10-12 | 2019-02-26 | Calamp Corp. | Systems and methods for radio access interfaces |
US20180108094A1 (en) * | 2016-10-14 | 2018-04-19 | Caterpillar Inc. | Operating methods and systems for underground mining |
US11065655B2 (en) | 2016-10-17 | 2021-07-20 | Ecoserv Technologies, Llc | Apparatuses, systems, and methods for cleaning |
US9864375B1 (en) | 2016-11-21 | 2018-01-09 | Caterpillar Inc. | Area isolation system |
USD823920S1 (en) | 2016-11-23 | 2018-07-24 | Kaarta, Inc. | Simultaneous localization and mapping (SLAM) device |
US10473750B2 (en) | 2016-12-08 | 2019-11-12 | Calamp Corp. | Systems and methods for tracking multiple collocated assets |
US10353393B2 (en) * | 2016-12-29 | 2019-07-16 | Baidu Usa Llc | Method and system for improving stability of autonomous driving vehicles |
US10585440B1 (en) | 2017-01-23 | 2020-03-10 | Clearpath Robotics Inc. | Systems and methods for using human-operated material-transport vehicles with fleet-management systems |
IL250762B (en) | 2017-02-23 | 2020-09-30 | Appelman Dina | Method of navigating an unmanned vehicle and system thereof |
CN106982252A (en) * | 2017-03-22 | 2017-07-25 | 深圳市合智思创信息技术有限公司 | Data processing method and device |
WO2018181053A1 (en) * | 2017-03-28 | 2018-10-04 | 愛知製鋼株式会社 | Marker system |
WO2018176358A1 (en) * | 2017-03-31 | 2018-10-04 | Intel Corporation | Autonomous tunnel navigation with a robotic system |
CN115855022A (en) | 2017-04-07 | 2023-03-28 | 辉达公司 | Performing autonomous path navigation using deep neural networks |
US10705525B2 (en) | 2017-04-07 | 2020-07-07 | Nvidia Corporation | Performing autonomous path navigation using deep neural networks |
CA3057902C (en) | 2017-05-25 | 2023-03-07 | Ecoserv Technologies, Llc | Devices, systems, and methods for cleaning vessels |
US10599421B2 (en) | 2017-07-14 | 2020-03-24 | Calamp Corp. | Systems and methods for failsafe firmware upgrades |
CN111033426A (en) * | 2017-09-04 | 2020-04-17 | 日本电产株式会社 | Moving object, position estimation device, and computer program |
US20190141156A1 (en) | 2017-11-06 | 2019-05-09 | Calamp Corp. | Systems and Methods for Dynamic Telematics Messaging |
US11206171B2 (en) | 2017-11-07 | 2021-12-21 | Calamp Corp. | Systems and methods for dynamic device programming |
WO2019099605A1 (en) | 2017-11-17 | 2019-05-23 | Kaarta, Inc. | Methods and systems for geo-referencing mapping systems |
AU2017279683B2 (en) | 2017-12-20 | 2024-04-04 | Caterpillar Underground Mining Pty Ltd | System and method for monitoring conditions associated with operation of an underground machine |
US10583839B2 (en) * | 2017-12-28 | 2020-03-10 | Automotive Research & Testing Center | Method of lane change decision-making and path planning |
IL257428B (en) | 2018-02-08 | 2022-04-01 | Israel Aerospace Ind Ltd | Excavation by way of an unmanned vehicle |
CN108197842A (en) * | 2018-02-12 | 2018-06-22 | 国家电网公司 | A kind of vehicle monitoring system for GIL piping lanes |
WO2019165194A1 (en) | 2018-02-23 | 2019-08-29 | Kaarta, Inc. | Methods and systems for processing and colorizing point clouds and meshes |
WO2019195270A1 (en) | 2018-04-03 | 2019-10-10 | Kaarta, Inc. | Methods and systems for real or near real-time point cloud map data confidence evaluation |
US11126199B2 (en) * | 2018-04-16 | 2021-09-21 | Baidu Usa Llc | Learning based speed planner for autonomous driving vehicles |
WO2020009826A1 (en) | 2018-07-05 | 2020-01-09 | Kaarta, Inc. | Methods and systems for auto-leveling of point clouds and 3d models |
FR3084150B1 (en) * | 2018-07-17 | 2021-02-26 | Renault Sas | METHOD OF LOCATING A VEHICLE |
US11513526B2 (en) * | 2018-08-30 | 2022-11-29 | Elta Systems Ltd. | Method of navigating a vehicle and system thereof |
US11256261B1 (en) * | 2018-10-16 | 2022-02-22 | Amazon Technologies, Inc. | System for movement of autonomous mobile device |
JP7064429B2 (en) * | 2018-11-06 | 2022-05-10 | 株式会社東芝 | Information processing equipment, information processing methods and computer programs |
EP3929048A1 (en) * | 2018-11-15 | 2021-12-29 | Volvo Car Corporation | Vehicle safe stop |
US11287824B2 (en) * | 2018-11-19 | 2022-03-29 | Mobile Industrial Robots A/S | Detecting a location of an autonomous device |
EP3660453B1 (en) * | 2018-11-30 | 2023-11-29 | Sandvik Mining and Construction Oy | Positioning of mobile object in underground worksite |
US11226630B2 (en) | 2018-12-04 | 2022-01-18 | Here Global B.V. | Method and apparatus for estimating a localized position on a map |
CN113260544A (en) * | 2018-12-28 | 2021-08-13 | 爱知制钢株式会社 | Correction method of gyroscope sensor |
CN109739228B (en) * | 2018-12-28 | 2021-12-10 | 创泽智能机器人集团股份有限公司 | Speed regulation parameter self-training method for security robot |
US11386777B2 (en) * | 2019-01-02 | 2022-07-12 | Intel Corporation | Obstacle localization based on probabilistic consensus |
JP7151035B2 (en) * | 2019-01-16 | 2022-10-12 | 株式会社豊田自動織機 | travel control device |
CN111857112B (en) * | 2019-04-12 | 2023-11-14 | 广州汽车集团股份有限公司 | Automobile local path planning method and electronic equipment |
US10825243B1 (en) * | 2019-08-15 | 2020-11-03 | Autodesk, Inc. | Three-dimensional (3D) model creation and incremental model refinement from laser scans |
US11958183B2 (en) | 2019-09-19 | 2024-04-16 | The Research Foundation For The State University Of New York | Negotiation-based human-robot collaboration via augmented reality |
CN112643664B (en) * | 2019-10-10 | 2022-09-23 | 深圳市优必选科技股份有限公司 | Positioning error eliminating method, positioning error eliminating device, robot and storage medium |
US11716536B2 (en) * | 2020-04-22 | 2023-08-01 | Canon Kabushiki Kaisha | Control device, image capturing apparatus, and control method for detecting obstacle |
CN111538331A (en) * | 2020-04-24 | 2020-08-14 | 北京科技大学 | Reaction type navigation method of underground unmanned articulated vehicle |
CN111770308B (en) * | 2020-06-12 | 2022-04-12 | 杭州视在数科信息技术有限公司 | Camera equipment tracking method for key vehicle safety guarantee |
CN111824157B (en) * | 2020-07-14 | 2021-10-08 | 广州小鹏自动驾驶科技有限公司 | Automatic driving method and device |
TWI738475B (en) * | 2020-08-24 | 2021-09-01 | 安捷科股份有限公司 | Vehicle forward and reverse detecting system and method with automatic learning correction mechanism |
EP4211017A1 (en) * | 2020-09-03 | 2023-07-19 | Raven Industries, Inc. | Power platform with four wheel steering/rear wheel steering |
CN112050809B (en) * | 2020-10-08 | 2022-06-17 | 吉林大学 | Wheel type odometer and gyroscope information fusion unmanned vehicle directional positioning method |
US11835949B2 (en) | 2020-11-24 | 2023-12-05 | Mobile Industrial Robots A/S | Autonomous device safety system |
US10991216B1 (en) * | 2020-12-04 | 2021-04-27 | Khaled Alali | Auditory and visual guidance system for emergency evacuation |
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Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4790402A (en) * | 1987-09-28 | 1988-12-13 | Tennant Company | Automated guided vehicle |
US4809178A (en) * | 1986-05-22 | 1989-02-28 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Obstacle data processing system for unmanned vehicle |
US5155684A (en) | 1988-10-25 | 1992-10-13 | Tennant Company | Guiding an unmanned vehicle by reference to overhead features |
US5530330A (en) * | 1994-03-30 | 1996-06-25 | Inco Limited | Automated guidance system for a vehicle |
US6314341B1 (en) | 1999-11-26 | 2001-11-06 | Yutaka John Kanayama | Method of recording trajectory data and sensor data for a manually-driven vehicle |
WO2002093282A1 (en) | 2001-05-14 | 2002-11-21 | Sandvik Tamrock Oy | Method and apparatus for determining position of mining machine |
US6694233B1 (en) * | 1999-07-23 | 2004-02-17 | Commonwealth Scientific And Industrial Research Organisation | System for relative vehicle navigation |
US20040167688A1 (en) | 2002-12-17 | 2004-08-26 | Karlsson L. Niklas | Systems and methods for correction of drift via global localization with a visual landmark |
WO2004085968A1 (en) | 2003-03-25 | 2004-10-07 | Sandvik Tamrock Oy | Method and control system for positioning a mine vehicle |
WO2005003808A1 (en) * | 2003-07-03 | 2005-01-13 | Sandvik Tamrock Oy | Method and system for monitoring location of mining vehicle |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
ZA952853B (en) | 1994-04-18 | 1995-12-21 | Caterpillar Inc | Method and apparatus for real time monitoring and co-ordination of multiple geography altering machines on a work site |
JPH08263138A (en) * | 1995-03-24 | 1996-10-11 | Komatsu Ltd | Method and device for generating unmanned dump truck travel course data |
US6246932B1 (en) * | 1997-02-20 | 2001-06-12 | Komatsu Ltd. | Vehicle monitor for controlling movements of a plurality of vehicles |
US5999865A (en) * | 1998-01-29 | 1999-12-07 | Inco Limited | Autonomous vehicle guidance system |
DE69915156T2 (en) * | 1998-04-24 | 2004-10-28 | Inco Ltd., Toronto | Automatic guiding and measuring device |
JP4082831B2 (en) * | 1999-10-26 | 2008-04-30 | 株式会社小松製作所 | Vehicle control device |
EP1232424A1 (en) * | 1999-11-18 | 2002-08-21 | The Procter & Gamble Company | Home cleaning robot |
JP3421768B2 (en) * | 2000-03-30 | 2003-06-30 | 学校法人金沢工業大学 | Autonomous vehicle route guidance method, autonomous vehicle route guidance device, and autonomous vehicle equipped with route guidance device |
US6454036B1 (en) * | 2000-05-15 | 2002-09-24 | ′Bots, Inc. | Autonomous vehicle navigation system and method |
AU2001262975A1 (en) * | 2000-05-15 | 2001-11-26 | Modular Mining Systems, Inc. | Permission system for control of autonomous vehicles |
US6608913B1 (en) * | 2000-07-17 | 2003-08-19 | Inco Limited | Self-contained mapping and positioning system utilizing point cloud data |
US6633800B1 (en) * | 2001-01-31 | 2003-10-14 | Ainsworth Inc. | Remote control system |
US6667592B2 (en) * | 2001-08-13 | 2003-12-23 | Intellibot, L.L.C. | Mapped robot system |
FI115668B (en) | 2003-03-25 | 2005-06-15 | Sandvik Tamrock Oy | Initialization of position and direction of mining vehicles |
CA2745777A1 (en) | 2007-12-19 | 2009-07-09 | Great Lakes Biosciences, Llc | Brain-related chronic pain disorder diagnosis and assessment method |
-
2006
- 2006-07-26 US US11/493,027 patent/US7756615B2/en active Active
- 2006-07-26 EP EP11188101.7A patent/EP2450763B1/en active Active
- 2006-07-26 EP EP06761203A patent/EP1924981B1/en active Active
- 2006-07-26 WO PCT/CA2006/001261 patent/WO2007012198A1/en active Search and Examination
- 2006-07-26 CA CA2616613A patent/CA2616613C/en active Active
- 2006-07-26 US US11/922,706 patent/US8090491B2/en active Active
- 2006-07-26 WO PCT/CA2006/001262 patent/WO2007012199A2/en active Search and Examination
- 2006-07-26 DE DE602006021188T patent/DE602006021188D1/en active Active
- 2006-07-26 AU AU2006274421A patent/AU2006274421B2/en active Active
- 2006-07-26 CA CA2612921A patent/CA2612921C/en active Active
- 2006-07-26 AU AU2006274420A patent/AU2006274420B2/en active Active
- 2006-07-26 AT AT06761202T patent/ATE504872T1/en not_active IP Right Cessation
- 2006-07-26 EP EP06761202A patent/EP1913235B1/en active Active
-
2008
- 2008-01-22 ZA ZA200800635A patent/ZA200800635B/en unknown
- 2008-02-25 ZA ZA200801764A patent/ZA200801764B/en unknown
-
2011
- 2011-05-26 AU AU2011202456A patent/AU2011202456B2/en active Active
- 2011-08-12 US US13/209,247 patent/US8260483B2/en active Active
Patent Citations (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US4809178A (en) * | 1986-05-22 | 1989-02-28 | Kabushiki Kaisha Toyota Chuo Kenkyusho | Obstacle data processing system for unmanned vehicle |
US4790402A (en) * | 1987-09-28 | 1988-12-13 | Tennant Company | Automated guided vehicle |
US5155684A (en) | 1988-10-25 | 1992-10-13 | Tennant Company | Guiding an unmanned vehicle by reference to overhead features |
US5530330A (en) * | 1994-03-30 | 1996-06-25 | Inco Limited | Automated guidance system for a vehicle |
US6694233B1 (en) * | 1999-07-23 | 2004-02-17 | Commonwealth Scientific And Industrial Research Organisation | System for relative vehicle navigation |
US6314341B1 (en) | 1999-11-26 | 2001-11-06 | Yutaka John Kanayama | Method of recording trajectory data and sensor data for a manually-driven vehicle |
WO2002093282A1 (en) | 2001-05-14 | 2002-11-21 | Sandvik Tamrock Oy | Method and apparatus for determining position of mining machine |
US20040167688A1 (en) | 2002-12-17 | 2004-08-26 | Karlsson L. Niklas | Systems and methods for correction of drift via global localization with a visual landmark |
WO2004085968A1 (en) | 2003-03-25 | 2004-10-07 | Sandvik Tamrock Oy | Method and control system for positioning a mine vehicle |
WO2005003808A1 (en) * | 2003-07-03 | 2005-01-13 | Sandvik Tamrock Oy | Method and system for monitoring location of mining vehicle |
Cited By (60)
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---|---|---|---|---|
USRE45854E1 (en) | 2006-07-03 | 2016-01-19 | Faro Technologies, Inc. | Method and an apparatus for capturing three-dimensional data of an area of space |
US8473142B2 (en) | 2008-05-30 | 2013-06-25 | Atlas Copco Rock Drills Ab | Method and arrangement for calculating a conformity between an estimated representation of an environment and the actual environment |
US8719474B2 (en) | 2009-02-13 | 2014-05-06 | Faro Technologies, Inc. | Interface for communication between internal and external devices |
US9551575B2 (en) | 2009-03-25 | 2017-01-24 | Faro Technologies, Inc. | Laser scanner having a multi-color light source and real-time color receiver |
US9074883B2 (en) | 2009-03-25 | 2015-07-07 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8694193B2 (en) | 2009-06-24 | 2014-04-08 | Sandvik Mining And Construction Oy | Determination of routes for arranging automatic control of mobile mining machine |
EP2446091A4 (en) * | 2009-06-24 | 2017-06-07 | Sandvik Mining and Construction Oy | Definition of control data for automatic control of mobile mining machine |
EP2446334A4 (en) * | 2009-06-24 | 2013-02-20 | Sandvik Mining & Constr Oy | Determination of routes for arranging automatic control of mobile mining machine |
WO2010149853A1 (en) | 2009-06-24 | 2010-12-29 | Sandvik Mining And Construction Oy | Determination of routes for arranging automatic control of mobile mining machine |
EP2446334A1 (en) * | 2009-06-24 | 2012-05-02 | Sandvik Mining and Construction Oy | Determination of routes for arranging automatic control of mobile mining machine |
US8571765B2 (en) | 2009-06-24 | 2013-10-29 | Sandvik Mining And Construction Oy | Definition of control data for automatic control of mobile mining machine |
CN102803618A (en) * | 2009-06-24 | 2012-11-28 | 山特维克矿山工程机械有限公司 | Definition of control data for automatic control of mobile mining machine |
DE212010000094U1 (en) | 2009-06-24 | 2012-03-30 | Sandvik Mining And Construction Oy | Teach a model for automatic control of a mobile mining machine |
AU2010264553B2 (en) * | 2009-06-24 | 2014-06-12 | Sandvik Mining And Construction Oy | Determination of routes for arranging automatic control of mobile mining machine |
CN102803618B (en) * | 2009-06-24 | 2016-03-02 | 山特维克矿山工程机械有限公司 | For defining the method for control data and comprising the equipment of the data processing equipment for defining control data |
US8744746B2 (en) | 2009-06-24 | 2014-06-03 | Sandvik Mining And Construction Oy | Determination of route for arranging automatic control of mobile mining machine |
WO2010149851A1 (en) | 2009-06-24 | 2010-12-29 | Sandvik Mining And Construction Oy | Determination of route for arranging automatic control of mobile mining machine |
US8625106B2 (en) | 2009-07-22 | 2014-01-07 | Faro Technologies, Inc. | Method for optically scanning and measuring an object |
WO2011010226A1 (en) * | 2009-07-22 | 2011-01-27 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
CN102232197A (en) * | 2009-07-22 | 2011-11-02 | 法罗技术股份有限公司 | Device for optically scanning and measuring an environment |
US8384914B2 (en) | 2009-07-22 | 2013-02-26 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8705016B2 (en) | 2009-11-20 | 2014-04-22 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US9210288B2 (en) | 2009-11-20 | 2015-12-08 | Faro Technologies, Inc. | Three-dimensional scanner with dichroic beam splitters to capture a variety of signals |
US8896819B2 (en) | 2009-11-20 | 2014-11-25 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US9529083B2 (en) | 2009-11-20 | 2016-12-27 | Faro Technologies, Inc. | Three-dimensional scanner with enhanced spectroscopic energy detector |
US9113023B2 (en) | 2009-11-20 | 2015-08-18 | Faro Technologies, Inc. | Three-dimensional scanner with spectroscopic energy detector |
US9417316B2 (en) | 2009-11-20 | 2016-08-16 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US10060722B2 (en) | 2010-01-20 | 2018-08-28 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine having a 2D camera and method of obtaining 3D representations |
US9009000B2 (en) | 2010-01-20 | 2015-04-14 | Faro Technologies, Inc. | Method for evaluating mounting stability of articulated arm coordinate measurement machine using inclinometers |
US9628775B2 (en) | 2010-01-20 | 2017-04-18 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine having a 2D camera and method of obtaining 3D representations |
US10281259B2 (en) | 2010-01-20 | 2019-05-07 | Faro Technologies, Inc. | Articulated arm coordinate measurement machine that uses a 2D camera to determine 3D coordinates of smoothly continuous edge features |
US9684078B2 (en) | 2010-05-10 | 2017-06-20 | Faro Technologies, Inc. | Method for optically scanning and measuring an environment |
US8924143B2 (en) | 2010-05-10 | 2014-12-30 | Sandvik Mining And Construction Oy | Method and apparatus for arranging mining vehicle positioning |
US9329271B2 (en) | 2010-05-10 | 2016-05-03 | Faro Technologies, Inc. | Method for optically scanning and measuring an environment |
US8699007B2 (en) | 2010-07-26 | 2014-04-15 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8730477B2 (en) | 2010-07-26 | 2014-05-20 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
US8705012B2 (en) | 2010-07-26 | 2014-04-22 | Faro Technologies, Inc. | Device for optically scanning and measuring an environment |
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US9074878B2 (en) | 2012-09-06 | 2015-07-07 | Faro Technologies, Inc. | Laser scanner |
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US9279662B2 (en) | 2012-09-14 | 2016-03-08 | Faro Technologies, Inc. | Laser scanner |
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AU2011202456B2 (en) | 2012-08-02 |
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EP1913235A4 (en) | 2009-11-11 |
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CA2616613C (en) | 2013-10-22 |
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