CN114385692A - Vehicle driving data processing method and system, storage medium and electronic equipment - Google Patents
Vehicle driving data processing method and system, storage medium and electronic equipment Download PDFInfo
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Abstract
The invention relates to the technical field of automobiles, in particular to a vehicle driving data processing method, a system, a storage medium and electronic equipment, wherein a vehicle is provided with a distance sensor; the method comprises the following steps: acquiring current position information of a vehicle and target scene information corresponding to the current position information when working conditions are preset; determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and an effective detection range of the distance sensor; acquiring running data of the vehicle in an actual detection range based on the distance sensor; screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range; according to the method and the device, the data processing amount of the vehicle when judging the road condition information is reduced, the influence of invalid driving data on the automatic driving of the vehicle can be avoided, and the false detection rate of the road condition information is increased due to the fact that the invalid driving data are processed can also be avoided; the vehicle can also improve safety and stability of automatic driving by processing the target travel data.
Description
Technical Field
The present invention relates to the field of automotive technologies, and in particular, to a method and a system for processing vehicle driving data, a storage medium, and an electronic device.
Background
Along with the continuous development of economy and society, the quantity of the self-driving automobiles is more and more, and social problems caused by the increase of the quantity of the self-driving automobiles are increasingly highlighted, and the loss of people and property caused by traffic accidents is more and more serious in the society; among them, the traffic accident mainly involves the collision of the vehicle;
the existing automatic driving is subject to industry pursuit; with the increase of automatic driving vehicles, the application of automatic driving brings loss to life safety and property of people and negative effects to industries due to low sensor precision; in order to solve the problem of low sensor precision and improve the accuracy of vehicle sensing, the vehicle sensor technology gradually develops a mode from a single sensor to a multi-sensor and a multi-sensor fusion mode; the perception of a single sensor can be influenced by various factors such as surrounding environment weather, illumination, road types, road settings, ground identification and the like, more false detections can be generated in complex scenes, and the false detections are especially aimed at special scenes such as tunnels or underground garages. Using a multi-sensor solution means that a large amount of sensor data and more redundant data are processed in real time, requiring higher bus bandwidth, using higher performance chips, which can greatly increase the difficulty and cost of autopilot technology development.
Based on the shortcomings of the prior art, there is a need to develop a solution to solve the above problems.
Disclosure of Invention
In order to solve the technical problems, the invention provides a vehicle driving data processing method, a system, a storage medium and an electronic device, wherein the effective detection range corresponding to the target scene information is determined based on the mapping relation between the pre-stored scene information and the effective detection range of the distance sensor, and then the driving data of the vehicle in the actual detection range is acquired based on the distance sensor; the driving data are screened according to the effective detection range to obtain target driving data corresponding to the effective detection range, so that the data processing amount of the vehicle in judging road condition information is reduced, the influence of invalid driving data on automatic driving of the vehicle can be avoided, and the false detection rate of the road condition information is increased due to the fact that the invalid driving data are processed; the vehicle can also improve safety and stability of automatic driving only by processing the target running data.
The invention discloses a vehicle driving data processing method, wherein a vehicle is provided with a distance sensor, and the distance sensor is used for acquiring driving data in front of the vehicle; the method comprises the following steps:
acquiring current position information of a vehicle and target scene information corresponding to the current position information when working conditions are preset;
determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and an effective detection range of the distance sensor;
acquiring running data of the vehicle in an actual detection range based on the distance sensor;
and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
Further, the step of mapping the pre-stored scene information with the effective detection range of the distance sensor comprises:
acquiring a detection point data set corresponding to each scene information;
determining an effective detection range corresponding to each scene information according to the detection point data set;
and respectively storing the scene information and the corresponding effective detection range in a correlated manner.
Further, the step of obtaining the detection point data set corresponding to each scene information includes:
constructing a reference coordinate system; the origin of the reference coordinate is the central position of a signal detection area of the distance sensor, the X axis of the reference coordinate system is the vehicle running direction, and the Y axis of the reference coordinate system is the width direction of the vehicle;
acquiring an actual detection range detected by the distance sensor;
determining the position information of a target detection point corresponding to the scene information according to the scene information, the actual detection range and the reference coordinate system; wherein the number of the target detection points is at least three;
and generating corresponding detection point data sets respectively based on the position information of the target detection points corresponding to the scenes.
Further, the actual detection range includes being determined in the following manner:
acquiring the field angle and detection distance information of the distance sensor;
and determining the actual detection range of the distance sensor according to the field angle of the distance sensor and the detection distance information.
Further, the step of screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range includes:
determining invalid driving data outside the effective detection range from the driving data according to the actual detection range and the effective detection range;
and removing the invalid driving data from the driving data to obtain the target driving data.
Further, the step of acquiring current position information of the vehicle and target scene information corresponding to the current position information under a preset working condition comprises the following steps:
acquiring running state information of the vehicle;
judging whether the vehicle is in a running state or not according to the running state information;
and if the vehicle is in the running state, determining that the vehicle is in a preset working condition.
Further, the step of obtaining the target driving data corresponding to the effective detection range further includes:
judging whether an obstacle exists in the effective detection range or not according to the target driving data;
if the obstacle exists in the detection range, displaying collision early warning information;
wherein, the collision warning information is text, voice or picture information.
Another aspect of the present invention protects a vehicle travel data processing system for implementing the vehicle travel data processing method described above, the system including:
the acquisition module is used for acquiring current position information of a vehicle and target scene information corresponding to the current position information when a preset working condition is met;
the first execution module is used for determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and the effective detection range of the distance sensor;
the second execution module is used for acquiring running data of the vehicle in an actual detection range based on the distance sensor; and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
Another aspect of the present invention protects a storage medium including a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the vehicle driving data processing method as described above.
Another aspect of the invention protects an electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the vehicle travel data processing method according to any one of the above by executing the instructions stored in the memory.
The embodiment of the invention has the following beneficial effects:
the method comprises the steps of determining an effective detection range corresponding to target scene information based on a mapping relation between prestored scene information and an effective detection range of a distance sensor, and acquiring running data of a vehicle in an actual detection range based on the distance sensor; the driving data are screened according to the effective detection range to obtain target driving data corresponding to the effective detection range, so that the data processing amount of the vehicle in judging road condition information is reduced, the influence of invalid driving data on automatic driving of the vehicle can be avoided, and the false detection rate of the road condition information is increased due to the fact that the invalid driving data are processed; the vehicle can also improve safety and stability of automatic driving only by processing the target running data.
Drawings
In order to more clearly illustrate the technical solution of the present invention, the drawings used in the description of the embodiment or the prior art will be briefly described below. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art it is also possible to derive other drawings from these drawings without inventive effort.
Fig. 1 is a flowchart of a vehicle driving data processing method according to the present embodiment;
fig. 2 is a block diagram of a vehicle driving data processing system according to the present embodiment;
FIG. 3 is a schematic diagram of the effective detection range when both sides of the vehicle are lanes according to the present embodiment;
FIG. 4 is a graph of the effective detection range when both sides of the vehicle are lanes according to the present embodiment;
fig. 5 is a schematic diagram of the effective detection range when one side of the vehicle is a lane and the other side is an urban green belt.
Wherein the reference numerals in the figures correspond to:
1-an acquisition module; 2-a first execution module; 3-a second execution module.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
The prior art has the following defects: the existing automatic driving is subject to industry pursuit; with the increase of automatic driving vehicles, the application of automatic driving brings loss to life safety and property of people and negative effects to industries due to low sensor precision; in order to solve the problem of low sensor precision and improve the accuracy of vehicle sensing, the vehicle sensor technology gradually develops a mode from a single sensor to a multi-sensor and a multi-sensor fusion mode; the perception of a single sensor can be influenced by various factors such as surrounding environment weather, illumination, road types, road settings, ground identification and the like, more false detections can be generated in complex scenes, and the false detections are especially aimed at special scenes such as tunnels or underground garages. Using a multi-sensor solution means that a large amount of sensor data and more redundant data are processed in real time, requiring higher bus bandwidth, using higher performance chips, which can greatly increase the difficulty and cost of autopilot technology development.
Aiming at the defects of the prior art, the effective detection range corresponding to the target scene information is determined based on the mapping relation between the prestored scene information and the effective detection range of the distance sensor, and then the driving data of the vehicle in the actual detection range is acquired based on the distance sensor; the driving data are screened according to the effective detection range to obtain target driving data corresponding to the effective detection range, so that the data processing amount of the vehicle in judging road condition information is reduced, the influence of invalid driving data on automatic driving of the vehicle can be avoided, and the false detection rate of the road condition information is increased due to the fact that the invalid driving data are processed; the vehicle can also improve safety and stability of automatic driving only by processing the target running data.
Example 1
Referring to fig. 1 to 5, the present embodiment provides a method for processing vehicle driving data, in which a vehicle is provided with a distance sensor for acquiring driving data in front of the vehicle; the method comprises the following steps:
acquiring current position information of a vehicle and target scene information corresponding to the current position information when working conditions are preset;
determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and an effective detection range of the distance sensor;
acquiring running data of the vehicle in an actual detection range based on the distance sensor;
and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
It should be noted that: in the prior art, a single sensor and a plurality of sensors acquire data; the perception of a single sensor can be influenced by surrounding environment, such as weather, illumination, road types, road arrangement, ground identification and other factors, more false detections can be generated in a complex scene, and more false detections are generated particularly in special scenes, such as tunnels or underground garages; the scheme of arranging multiple sensors can greatly increase the difficulty and cost of the development of the automatic driving technology, which means that a large amount of sensor data and more redundant data need to be processed in real time, higher bus bandwidth is needed, and a chip with higher performance is adopted, so that the production cost is obviously increased; in order to solve the above problem, in this embodiment, based on a mapping relationship between pre-stored scene information and an effective detection range of the distance sensor, an effective detection range corresponding to the target scene information is determined, and then based on the distance sensor, driving data of the vehicle in an actual detection range is acquired; the driving data are screened according to the effective detection range to obtain target driving data corresponding to the effective detection range, so that the data processing amount of the vehicle in judging road condition information is reduced, the influence of invalid driving data on automatic driving of the vehicle can be avoided, and the false detection rate of the road condition information is increased due to the fact that the invalid driving data are processed; the vehicle can also improve safety and stability of automatic driving only by processing the target running data.
It should also be noted that: the embodiment also reduces the number of the sensors, avoids using a plurality of sensors to cause more redundant data, and reduces the production cost to a certain extent.
In some possible embodiments, the step of mapping the pre-stored scene information with the effective detection range of the distance sensor comprises:
acquiring a detection point data set corresponding to each scene information;
determining an effective detection range corresponding to each scene information according to the detection point data set;
and respectively storing the scene information and the corresponding effective detection range in a correlated manner.
In other possible embodiments, the current position information of the vehicle is mainly acquired through the positioning system and the map data, so that the current position information of the vehicle can be accurately determined, the effective detection range corresponding to the current position information of the vehicle can be accurately determined, the data processing amount of the vehicle can be effectively reduced, and the safety and the stability of automatic driving are improved.
In some possible embodiments, the step of obtaining the detection point data set corresponding to each piece of scene information includes:
constructing a reference coordinate system; the origin of the reference coordinate is the central position of a signal detection area of the distance sensor, the X axis of the reference coordinate system is the vehicle running direction, and the Y axis is the width direction of the vehicle;
acquiring an actual detection range detected by a distance sensor;
determining the position information of a target detection point corresponding to the scene information according to the scene information, the actual detection range and the reference coordinate system; wherein, the number of the target detection points is at least three;
the corresponding detection point data sets are generated respectively based on the position information of the target detection points corresponding to the scenes, and the data of different detection points corresponding to different scenes are preset, so that the situation that the vehicle can quickly obtain an effective detection range during running can be avoided, the response speed is improved, and the experience of drivers and passengers is improved.
In other possible embodiments, referring to fig. 3, the vehicle is traveling on a road having at least three lanes, the vehicle being in one of the lanes; the distance sensor is a millimeter wave radar, the millimeter wave radar is arranged on a front bumper of the vehicle, and the actual detection range of the millimeter wave radar is a sector area; assuming that fig. 3 is an urban road scene, in actual driving, from the perspective of a driver, a vehicle mainly focuses on an area in front of a host vehicle lane (possible rear-end collision risk), and lanes on the left and right sides of the host vehicle lane (possible lane change risk of other vehicles); the other lane adjacent to the vehicle may be the urban green belt, and the area where the urban green belt is located does not need attention, because no other vehicle changes the lane from the green belt to the lane where the vehicle is located, the data of the area where the green belt is located is invalid driving data, and the data of the area where the green belt is located acquired by the millimeter wave radar does not need attention; therefore, when the vehicle is in an urban road scene and the vehicle is in a middle lane, a reference coordinate system is established by taking the central position of a signal detection area of the millimeter wave radar as an origin, and a dotted line area is an effective detection range of the millimeter wave radar, so that key detection targets of the millimeter wave radar can be limited within the effective detection range, and targets which do not threaten the driving of the vehicle outside the effective detection range can be filtered, so that the data volume of invalid targets and false detection possibly brought by the invalid targets are reduced, and the safety and the stability of automatic driving are improved.
Referring to fig. 4, when the vehicle is on a road of at least three lanes, a plurality of points (x0, y0), (x1, y1) … (xn, yn) are selected within an actual detection area of the millimeter wave radar; in the present embodiment, the effective detection range of the millimeter wave radar determined by 5 points, (x0, y0), (x1, y1), (x2, y2), (x3, y3), and (x4, y4) is employed.
Specifically, the effective detection range is comprehensively determined according to factors such as an actual running road scene of a vehicle, driving behaviors of drivers and passengers, a surrounding environment of the vehicle, road facilities and other moving obstacles, and the effective detection range corresponding to the target scene information is determined according to a mapping relation between prestored scene information and the effective detection range of the distance sensor; more specifically, effective detection ranges under various typical scenes of vehicle driving are defined in advance, codes are bound with the scenes or the positions, and the scenes or the positions are associated with the effective detection ranges under the corresponding scenes or the positions, so that the purpose of determining the effective detection ranges through the scenes or the positions is achieved, and the safety and the stability of automatic driving can be improved only by processing the target driving data by the vehicle.
Specifically, a maximum of 8 detection points are provided in the present embodiment; the number of the detection points is set according to actual requirements, and more detection points can be supported, which is not limited herein.
In other possible embodiments, referring to fig. 5, the vehicle is located on one lane, one side adjacent to the lane where the vehicle is located is an adjacent lane, and the other side is an urban green belt, and data of the area where the urban green belt is located does not need to be concerned, that is, the area where the green belt is located is invalid driving data, and data of the area where the green belt is located obtained by the millimeter wave radar may not be concerned; at the moment, the central position detected by the signals of the millimeter wave radar is used as an original point workpiece reference coordinate system, the dotted line area is an effective detection range of the millimeter wave radar, so that key detection targets of the good film radar can be limited within the effective detection range, and targets which do not threaten the running of the vehicle can be filtered out within the effective detection range, so that the data volume of invalid targets is reduced, false detection possibly brought by the invalid target data is reduced, and the safety and the stability of automatic driving are improved.
Specifically, different effective detection ranges exist when the vehicle is located in different lanes, so that the increase of data processing amount caused by processing of invalid driving data is effectively avoided, the influence of the invalid driving data on automatic driving of the vehicle can be avoided, and the false detection rate of road condition information caused by processing of the invalid driving data can also be avoided.
In some possible embodiments, the actual detection range includes being determined in the following manner:
acquiring the field angle and detection distance information of the distance sensor;
and determining the actual detection range of the distance sensor according to the field angle and the detection distance information of the distance sensor.
In some possible embodiments, the step of screening the driving data according to the valid detection range to obtain the target driving data corresponding to the valid detection range includes:
determining invalid driving data outside the effective detection range from the driving data according to the actual detection range and the effective detection range;
and removing the invalid driving data from the driving data to obtain target driving data.
In other possible embodiments, determining invalid travel data outside the valid detection range from the travel data based on the actual detection range and the valid detection range includes:
determining an invalid detection range according to the actual detection range and the valid detection range, wherein the valid detection range and the invalid detection range form the actual detection range of the distance sensor;
determining data in an invalid detection range, and defining the data in the invalid detection range as invalid driving data;
invalid driving data are removed from the driving data to obtain target driving data, so that the influence of the invalid driving data on the automatic driving of the vehicle can be avoided, and the safety and the stability of the automatic driving are improved.
In some possible embodiments, the step of acquiring the current position information of the vehicle and the target scene information corresponding to the current position information before the step of acquiring the current position information of the vehicle at the preset working condition includes:
acquiring running state information of a vehicle;
judging whether the vehicle is in the running state or not according to the running state information;
and if the vehicle is in the running state, determining that the vehicle is in the preset working condition.
In other possible embodiments, the operating state information includes a traveling speed of the vehicle, and determining whether the vehicle is in the operating state based on the operating state information includes:
judging whether the vehicle is in a running state or not according to the running speed;
if the running speed is greater than zero, judging that the vehicle is in a running state, and determining that the vehicle is in a preset working condition;
if the running speed is zero, judging that the vehicle is in a non-running state, wherein the vehicle is in a non-preset working condition at the moment; the target driving data is acquired only when the vehicle is in the preset working condition, and the problem that the data processing speed of the vehicle and the safety of automatic driving are influenced due to the fact that the data processing amount of a vehicle controller is increased when the vehicle stops and the target driving data is acquired is avoided.
In some possible embodiments, the step of obtaining the target driving data corresponding to the valid detection range further includes:
judging whether an obstacle exists in the effective detection range or not according to the target driving data;
if the obstacle exists in the detection range, displaying collision early warning information;
the collision warning information is text, voice or picture information, and can effectively prompt drivers and passengers to avoid through displaying collision early warning information, so that the vehicle is prevented from colliding, and the safety of vehicle driving is improved.
In other possible embodiments, the step of obtaining the target driving data corresponding to the valid detection range further includes:
acquiring target driving data in real time under a preset working condition;
judging whether an obstacle exists in the effective detection range or not according to the target driving data;
if the obstacle exists in the detection range, displaying collision early warning information and controlling the vehicle to stop;
if the obstacle exists in the detection range, the step of judging whether the obstacle exists in the effective detection range according to the target driving data is executed again so as to ensure the driving safety of the vehicle during driving.
Another aspect of the present invention provides a vehicle driving data processing system, for implementing the vehicle driving data processing method, where the system includes:
the system comprises an acquisition module 1, a processing module and a display module, wherein the acquisition module is used for acquiring current position information of a vehicle and target scene information corresponding to the current position information when a working condition is preset;
the first execution module 2 is used for determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and the effective detection range of the distance sensor;
the second execution module 3 is used for acquiring the running data of the vehicle in the actual detection range based on the distance sensor; and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
In other possible embodiments, the system further comprises:
the third execution module is used for acquiring a detection point data set corresponding to each scene information; and determining the effective detection range corresponding to each scene information according to the detection point data set.
And the storage module is used for respectively storing the scene information and the corresponding effective detection range in a correlation manner.
The building module is used for building a reference coordinate system; the origin of the reference coordinate is the central position of a signal detection area of the distance sensor, the X axis of the reference coordinate system is the vehicle driving direction, and the Y axis of the reference coordinate system is the width direction of the vehicle.
The first determining module is used for determining the position information of a target detection point corresponding to the scene information according to the scene information, the actual detection range and the reference coordinate system; and generating corresponding detection point data sets respectively based on the position information of the target detection points corresponding to the scenes.
And the second determining module is used for determining the actual detection range of the distance sensor according to the field angle of the distance sensor and the detection distance information.
A fourth execution module, configured to determine invalid driving data outside the valid detection range from the driving data according to the actual detection range and the valid detection range; and removing the invalid driving data from the driving data to obtain the target driving data.
The working condition determining module is used for acquiring the running state information of the vehicle; judging whether the vehicle is in a running state or not according to the running state information; and if the vehicle is in the running state, determining that the vehicle is in a preset working condition.
The warning module is used for judging whether an obstacle exists in the effective detection range according to the target driving data; and if the obstacle exists in the detection range, displaying collision early warning information.
Another aspect of the present invention protects a storage medium including a processor and a memory, where at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the vehicle driving data processing method as above.
The computer program product may include a storage medium having computer-readable program instructions embodied thereon for causing a processor to implement various aspects of the present application.
The storage medium may be a tangible device that can hold and store instructions for use by an instruction execution device. The storage medium is not limited to an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the storage medium include: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Storage media, as used herein, is not to be construed as a transitory signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or an electrical signal transmitted through an electrical wire.
The computer-readable program instructions described herein may be downloaded from a storage medium to a respective computing/processing device, or to an external computer or external storage device via a network, such as the internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers and/or edge servers. The network adapter card or network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the storage medium in the respective computing/processing device.
The computer program instructions for carrying out operations of the present application may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The computer-readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry may execute computer-readable program instructions to implement aspects of the present application by utilizing state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
These computer-readable program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture.
The computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer-implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the specified functions/acts.
Another aspect of the invention protects an electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor; the memory stores instructions executable by the at least one processor, and the at least one processor implements the vehicle travel data processing method according to any one of the above aspects by executing the instructions stored in the memory.
Having described embodiments of the present application, the foregoing description is intended to be exemplary, not exhaustive, and not limited to the disclosed embodiments. Many modifications and variations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
The embodiments and features of the embodiments described herein above can be combined with each other without conflict.
While the invention has been described in connection with what is presently considered to be the most practical and preferred embodiment, it is to be understood that the invention is not to be limited to the disclosed embodiment, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
Claims (10)
1. A vehicle driving data processing method comprises the steps that a vehicle is provided with a distance sensor, and the distance sensor is used for acquiring driving data in front of the vehicle; characterized in that the method comprises:
acquiring current position information of a vehicle and target scene information corresponding to the current position information when working conditions are preset;
determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and an effective detection range of the distance sensor;
acquiring running data of the vehicle in an actual detection range based on the distance sensor;
and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
2. The vehicle travel data processing method according to claim 1, wherein the step of basing on the mapping relationship between the pre-stored scene information and the effective detection range of the distance sensor is preceded by:
acquiring a detection point data set corresponding to each scene information;
determining an effective detection range corresponding to each scene information according to the detection point data set;
and respectively storing the scene information and the corresponding effective detection range in a correlated manner.
3. The vehicle travel data processing method according to claim 2, wherein the step of acquiring the detection point data set corresponding to each piece of scene information is preceded by:
constructing a reference coordinate system; the origin of the reference coordinate is the central position of a signal detection area of the distance sensor, the X axis of the reference coordinate system is the vehicle running direction, and the Y axis of the reference coordinate system is the width direction of the vehicle;
acquiring an actual detection range detected by the distance sensor;
determining the position information of a target detection point corresponding to the scene information according to the scene information, the actual detection range and the reference coordinate system; wherein the number of the target detection points is at least three;
and generating corresponding detection point data sets respectively based on the position information of the target detection points corresponding to the scenes.
4. The vehicle travel data processing method according to claim 3, wherein the actual detection range includes being determined in the following manner:
acquiring the field angle and detection distance information of the distance sensor;
and determining the actual detection range of the distance sensor according to the field angle of the distance sensor and the detection distance information.
5. The vehicle driving data processing method according to claim 4, wherein the step of screening the driving data according to the valid detection range to obtain target driving data corresponding to the valid detection range includes:
determining invalid driving data outside the effective detection range from the driving data according to the actual detection range and the effective detection range;
and removing the invalid driving data from the driving data to obtain the target driving data.
6. The vehicle driving data processing method according to claim 1, wherein the step of acquiring the current position information of the vehicle and the target scene information corresponding to the current position information under the preset working condition comprises:
acquiring running state information of the vehicle;
judging whether the vehicle is in a running state or not according to the running state information;
and if the vehicle is in the running state, determining that the vehicle is in a preset working condition.
7. The vehicle travel data processing method according to claim 1, wherein the step of obtaining target travel data corresponding to the valid detection range is followed by further comprising:
judging whether an obstacle exists in the effective detection range or not according to the target driving data;
if the obstacle exists in the detection range, displaying collision early warning information;
wherein, the collision warning information is text, voice or picture information.
8. A vehicle travel data processing system for implementing the vehicle travel data processing method according to any one of claims 1 to 7, the system comprising:
the acquisition module is used for acquiring current position information of a vehicle and target scene information corresponding to the current position information when a preset working condition is met;
the first execution module is used for determining an effective detection range corresponding to the target scene information based on a mapping relation between prestored scene information and the effective detection range of the distance sensor;
the second execution module is used for acquiring running data of the vehicle in an actual detection range based on the distance sensor; and screening the driving data according to the effective detection range to obtain target driving data corresponding to the effective detection range.
9. A storage medium characterized by comprising a processor and a memory, wherein at least one instruction or at least one program is stored in the memory, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the vehicle travel data processing method according to any one of claims 1 to 7.
10. An electronic device comprising at least one processor, and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the at least one processor implements the vehicle travel data processing method according to any one of claims 1 to 7 by executing the instructions stored by the memory.
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115140060A (en) * | 2022-07-29 | 2022-10-04 | 中汽创智科技有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN116103987A (en) * | 2022-07-05 | 2023-05-12 | 港珠澳大桥管理局 | Road surface condition monitoring method, device and computer equipment |
| CN116828417A (en) * | 2023-06-27 | 2023-09-29 | 大陆软件系统开发中心(重庆)有限公司 | Electronic equipment and data processing method thereof |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116103987A (en) * | 2022-07-05 | 2023-05-12 | 港珠澳大桥管理局 | Road surface condition monitoring method, device and computer equipment |
| CN115140060A (en) * | 2022-07-29 | 2022-10-04 | 中汽创智科技有限公司 | Data processing method and device, electronic equipment and storage medium |
| CN116828417A (en) * | 2023-06-27 | 2023-09-29 | 大陆软件系统开发中心(重庆)有限公司 | Electronic equipment and data processing method thereof |
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