Classifications

• • 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
• • 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
  • B60W60/00—Drive control systems specially adapted for autonomous road vehicles
  • B60W60/001—Planning or execution of driving tasks
  • B60W60/0025—Planning or execution of driving tasks specially adapted for specific operations
• • B—PERFORMING OPERATIONS; TRANSPORTING
  • B65—CONVEYING; PACKING; STORING; HANDLING THIN OR FILAMENTARY MATERIAL
  • B65G—TRANSPORT OR STORAGE DEVICES, e.g. CONVEYORS FOR LOADING OR TIPPING, SHOP CONVEYOR SYSTEMS OR PNEUMATIC TUBE CONVEYORS
  • B65G63/00—Transferring or trans-shipping at storage areas, railway yards or harbours or in opening mining cuts; Marshalling yard installations
  • B65G63/002—Transferring or trans-shipping at storage areas, railway yards or harbours or in opening mining cuts; Marshalling yard installations for articles

Definitions

• the invention relates to a method for loading a vehicle.
• the invention further relates to a loading management system and a
• valet parking In a fully automated (autonomous) so-called valet parking a vehicle is parked by his driver at a delivery point, for example in front of a parking garage and from there the vehicle drives itself in a parking position / parking bay and back to the delivery point.
• Disclosure of the invention The object underlying the invention can therefore be seen to provide a concept which overcomes the known disadvantages and can enable efficient loading of a vehicle (or several vehicles).
• a method for loading a vehicle (or a plurality, the plural should always be read) is provided, wherein based on a digital loading station map of a loading station and a digital transport vehicle map of a transport vehicle, the vehicle autonomously from the loading station on the transport vehicle or vice versa.
• a loading system for loading is provided by one or more vehicles including a loading station and the loading management system.
• a load management system is to manage and
• Loading management system is set up, an autonomous drive of a
• a computer program which comprises program codes for carrying out the method for loading a vehicle when the computer program is executed on a computer.
• the invention thus includes in particular the idea that now no longer a human staff drives the vehicle onto a transport vehicle or from a transport vehicle. Instead, it is provided according to the invention that the vehicle travels autonomously from the loading station to the transport vehicle or vice versa. This is made possible in particular by the fact that a digital loading station map of the loading station and a digital transport vehicle map of the
• Transport vehicle are provided. Based on these digital maps, the vehicle is able to drive or navigate autonomously. This advantageously causes an efficient loading of the vehicle. Human resources can perform other tasks during this time. In general, an autonomous drive of the vehicle can be carried out with a smaller amount of time than a drive through a
• Autonomous in the sense of the present invention means, in particular, that the vehicle is navigated or driven or guided independently, ie without intervention by a driver.
• the vehicle therefore runs autonomously without a driver having to control the vehicle for this purpose or be in the vehicle.
• a guide comprises in particular a transverse and / or a longitudinal guide of the vehicle.
• the vehicle is preferably set up to park and / or park autonomously.
• the vehicle has a parking assistant.
• Such an autonomously driving vehicle that can automatically switch on and off is referred to, for example, as an AVP vehicle.
• AVP stands for "automatic valet parking” and can be translated as "automatic parking”.
• vehicles that do not have this AVP functionality are referred to as normal vehicles.
• a manually operated vehicle can be used for
• Example be a normal vehicle. The vehicle is after a
• Embodiment of an AVP vehicle Embodiment of an AVP vehicle.
• multiple vehicles are loaded.
• Loading involves loading and / or unloading. This means that the vehicle is loaded onto the transport vehicle. This means, for example, that the vehicle is unloaded by the transport vehicle.
• a target position on the transport vehicle or on the loading station at which the vehicle is to park autonomously is selected as a function of at least one vehicle parameter.
• Target position optional and efficient for the vehicle can be selected. Because of the parameterization, an optimally suitable target position for the vehicle can be selected. Thus, vehicle-specific properties for the target position can thus be taken into account. Not every vehicle can park equally well at any parking position or target position. A bus needs more space than a small car.
• Vehicle parameters are provided, for example, the same or
• the at least one vehicle parameter is an element selected from the following group of vehicle parameters: dimensions of the vehicle, functional scope of at least one driver assistance system of the vehicle, capability, which
• Driving maneuver the vehicle can drive in an autonomous mode of operation.
• a target position can be determined, which has sufficient space for the vehicle so that it can turn off safely.
• Dimensions comprise, in particular, a length and / or a width and / or a height.
• Driver assistance systems of the vehicle is taken into account, in particular has the advantage that the target position can be determined optimally for a concretely existing driver assistance system of the vehicle.
• the vehicle Depending on how good the driver assistance system actually installed in the vehicle is, it is possible, for example, for the vehicle to be able to approach target positions that are suitable for other vehicles which have a reference to a vehicle Scope have worse driver assistance system, can not be achieved.
• the functional scope includes, for example, a sensor range and / or a sensor sensitivity of an environmental sensor of an environmental sensor system
• Environment sensor data used to carry out a driver assistance function thus depends on a range of functions of the driver assistance system in particular a range of functions of environment sensors, ie in particular a sensor range and / or a sensor sensitivity.
• An environmental sensor is, for example, an ultrasound sensor, a lidar sensor, a radar sensor, a laser sensor or a video sensor.
• the environment sensor system preferably has a plurality of environmental sensors.
• the target position can be optimally selected for the vehicle.
• a target position can also be selected, which can only be achieved when a narrow curve is traversed.
• Vehicle in a loading order which determines an order regarding a loading of vehicles, is determined depending on at least one of the following parameters: Dimensions of the vehicle,
• Scope of at least one driver assistance system of the vehicle ability, which maneuvers the vehicle in an autonomous
• the autonomous driving of the vehicle by means of a vehicle external and / or a
• in-vehicle monitoring system is monitored and / or documented.
• the technical advantage is effected that the autonomous ride can be followed even after the end of the autonomous journey.
• errors that occurred during the autonomous journey can be detected and analyzed.
• the monitoring by means of the in-vehicle monitoring system comprises monitoring and / or documenting in-vehicle data.
• Vehicle-internal data include, for example, data of an environment sensor of the vehicle.
• An environment sensor system of the vehicle comprises a
• In-vehicle data includes, for example, engine data, data of a sensor for detecting a steering wheel angle, brake sensor, transmission sensor.
• In-vehicle data includes, for example, planning data relating to scheduling of one or more multiple trajectories, in particular the desired trajectory.
• Vehicle-internal data comprise, for example, controller data and / or controller result data, that is to say data relating to a controller result, that is to which result a
• a route which the vehicle departs during its autonomous journey is secured.
• the technical advantage in particular that a collision of the vehicle with other vehicles and / or people who are within the route can be reduced or even avoided.
• a collision hazard Because it can come to situations that are difficult to resolve. Such a situation is, for example, an unclear right-of-way situation in which drivers communicate by hand using manual signals. This is usually not possible between a manually guided and an autonomously driving vehicle.
• Scheduling management systems for managing and coordinating vehicle loading are planned and / or coordinated and / or supported.
• the technical advantage is effected that the loading can be carried out efficiently. Because the vehicle receives support from one or more off-board loading management systems.
• Loading management systems provide the vehicle with the digital maps.
• Verladensriossystem the vehicle a target position
• Loading management system is provided. In one embodiment, two off-board loading management systems are provided.
• coordinates of locations of the digital transport vehicle map are adjusted in terms of a current position of the transport vehicle relative to a reference coordinate system in coordinates of the reference coordinate system.
• a transport vehicle is moving, so that different locations for loading and unloading of vehicles can result.
• a digital transport vehicle map usually has only internal coordinates for each location, not the different positions of the
• these coordinates are adapted in coordinates of the reference coordinate system, these disadvantages can be overcome.
• this reference coordinate system is also a reference coordinate system for the vehicle, based on which it autonomously navigates or drives, then the vehicle can then drive on the digital transport vehicle map with the adjusted coordinates autonomously on the transport vehicle.
• Reference coordinate system is the world coordinate system.
• Loading management system is set up or configured to perform the procedure for loading a vehicle.
• the vehicle-external and / or in-vehicle monitoring system comprises one or more video cameras and / or a plurality of radar sensors and / or one or more ultrasonic sensors and / or one or more lidar sensors and / or one or more laser sensors and / or one or more light barriers and / or one or more door opening sensors.
• the transport vehicle is a watercraft, in particular a ship, a rail vehicle, in particular a train, an aircraft, in particular an aircraft or a helicopter, or a land vehicle, in particular a truck.
• the transport vehicle denotes a vehicle which is designed or set up for transporting one or more vehicles.
• the transport vehicle may be referred to as a transport vehicle for transporting one or more vehicles.
• Fig. 3 is a loading management system
• Fig. 4 is a loading system.
• Fig. 1 shows a flowchart of a method for loading a
• a step 101 it is provided that the vehicle travels autonomously from a loading station to a transport vehicle or vice versa. This based on a digital loading station map of the loading station and a digital transport vehicle map of the transport vehicle.
• Fig. 2 shows a flowchart of another method for loading a vehicle.
• a step 201 it is provided that dimensions of the vehicle are detected.
• a step 203 it is provided that a range of functions of at least one driver assistance system of the vehicle is detected.
• Driving maneuver the vehicle can drive in an autonomous mode of operation is detected. Based on the detected data according to the steps 201, 203, 205, it is provided in a step 207 that a rank of the vehicle in a loading order, which has an order regarding loading of
• Vehicles on the transport vehicle or by the transport vehicle is determined.
• the vehicle drives autonomously according to its rank in the loading order on the transport vehicle from the loading station or vice versa.
• FIG. 3 shows a loading management system 301 for managing and coordinating a loading of vehicles, wherein the loading management system 301 is arranged or designed to plan and / or coordinate and / or assist an autonomous drive of a vehicle from a transport vehicle to a loading station or vice versa ,
• the load management system 301 includes an off-board monitoring system.
• FIG. 4 shows a loading system 401 for loading vehicles.
• the loading system 401 comprises a loading station 403 and the
• the invention therefore encompasses the idea of the principle of automatic parking in a parking space on a loading of vehicles to expand.
• the invention and, inter alia, in one
• Transport vehicle drives to the loading station. If the vehicle has reached its assigned destination position on the transport vehicle or on the loading station, it is provided according to embodiment, that the vehicle is parked autonomously at the target position.
• a Verladsciencessystem provided in particular a Verladsciencessystem provided.
• a loading management system is provided, which is associated with the transport vehicle.
• two loading management systems are provided.
• one of the loading point or the loading station is assigned and the other of a destination loading station or a destination loading point to which a vehicle is to be transported.
• the loading management systems each have one
• Loading management system but also be transmitted according to one embodiment. So that means that a loading management system of
• Transport vehicle for example, data (data of the loading point or loading station, start and / or destination positions of the vehicles) is provided.
• the loading management systems are provided with the data of the transport vehicle (digital transport vehicle map) as well as the positions (current and destination positions) and data of the vehicles to be transported.
• the loading management systems must take appropriate coordination of the order of the autonomous vehicles to be driven.
• at least the following should be considered: - dimensions of the vehicles,
• the digital maps of the loading station and the transport vehicle are combined to form a common digital map. This especially at the start of transport and at one end of the transport.
• the maps and / or trajectories that are to depart the vehicles it is considered that they are spatially displaced (a digital map of a ship with respect to
• coordinates are different in the Port of Hamburg than in New York). That is, the corresponding coordinates of the locations of the digital map are adjusted.
• the process that is to say in particular the autonomous drive, that is to say in particular the loading, is monitored and / or documented by an external and / or in-vehicle monitoring system.
• the in-vehicle data is monitored and / or co-documented.
• Loading station or loading point on the transport vehicle or vice versa is extra secured, so this way is as deserted as possible to avoid a collision risk in an advantageous manner.

Landscapes

• Engineering & Computer Science (AREA)
• Radar, Positioning & Navigation (AREA)
• Automation & Control Theory (AREA)
• General Physics & Mathematics (AREA)
• Aviation & Aerospace Engineering (AREA)
• Remote Sensing (AREA)
• Physics & Mathematics (AREA)
• Mechanical Engineering (AREA)
• Transportation (AREA)
• Human Computer Interaction (AREA)
• Traffic Control Systems (AREA)
• Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
• Control Of Position, Course, Altitude, Or Attitude Of Moving Bodies (AREA)

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• 2014
  • 2014-11-26 DE DE102014224092.1A patent/DE102014224092A1/de active Pending
• 2015
  • 2015-10-22 WO PCT/EP2015/074461 patent/WO2016083033A1/de active Application Filing
  • 2015-10-22 JP JP2017528550A patent/JP6389005B2/ja active Active
  • 2015-10-22 CN CN201580064197.8A patent/CN107003672A/zh active Pending
  • 2015-10-22 EP EP15784655.1A patent/EP3224684A1/de active Pending
  • 2015-10-22 US US15/515,944 patent/US10274967B2/en active Active

Non-Patent Citations (1)

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