CN117008574A - Intelligent network allies oneself with car advanced auxiliary driving system and autopilot system test platform - Google Patents
Intelligent network allies oneself with car advanced auxiliary driving system and autopilot system test platform Download PDFInfo
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- CN117008574A CN117008574A CN202310949603.5A CN202310949603A CN117008574A CN 117008574 A CN117008574 A CN 117008574A CN 202310949603 A CN202310949603 A CN 202310949603A CN 117008574 A CN117008574 A CN 117008574A
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- 238000001514 detection method Methods 0.000 claims abstract description 28
- 230000004927 fusion Effects 0.000 claims abstract description 17
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- 238000004088 simulation Methods 0.000 claims description 34
- 238000012545 processing Methods 0.000 claims description 9
- 238000011156 evaluation Methods 0.000 claims description 8
- 238000012800 visualization Methods 0.000 claims description 6
- 238000007781 pre-processing Methods 0.000 claims description 4
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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
- G05B23/00—Testing or monitoring of control systems or parts thereof
- G05B23/02—Electric testing or monitoring
- G05B23/0205—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults
- G05B23/0208—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterized by the configuration of the monitoring system
- G05B23/0213—Modular or universal configuration of the monitoring system, e.g. monitoring system having modules that may be combined to build monitoring program; monitoring system that can be applied to legacy systems; adaptable monitoring system; using different communication protocols
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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
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24065—Real time diagnostics
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Abstract
The invention discloses an intelligent network-connected automobile advanced auxiliary driving system and an automatic driving system testing platform, which comprise an auxiliary system, wherein the auxiliary system is respectively connected with a cruising module, an algorithm module, a monitoring module, an early warning module, a braking module, an identification module, an auxiliary module and a fusion module. The fusion module in the invention can fuse the data from different sensors to comprehensively consider the advantages and disadvantages of the sensors, obtain a more comprehensive and accurate environment sensing result, combine vision and distance information by using the camera and radar data at the same time, provide more reliable obstacle detection and tracking, fuse the data from different information sources, locate vehicles, map data, weather information, traffic flow and the like, and the system can better know the state of the current road environment and make more accurate decisions by comprehensively considering the information, and can provide more accurate lane keeping and navigation guidance by combining the vehicle locating and map data.
Description
Technical Field
The invention relates to the unmanned field, in particular to an intelligent network-connected automobile advanced auxiliary driving system and an automatic driving system test platform.
Background
Advanced driver assistance systems provide a safe, increasingly automated driving experience that will remodel our travel traffic relationships, and in the near future, automated driving techniques will allow passengers to experience personalized and interconnected driving fun, giving automobiles the ability to seamlessly perceive, think, and behave, intelligently handling real-time road conditions.
Although the conventional intelligent network-connected automobile advanced auxiliary driving system and automatic driving system testing platform are widely applied and still have a certain value, the intelligent network-connected automobile advanced auxiliary driving system and automatic driving system testing platform have some defects, namely the following common defects:
1. conventional systems may present challenges in handling complex scenarios and extremes, such as lane changes for highways, complex intersections, pedestrians and bicycles in urban environments, etc., which may require more advanced sensing, decision-making and control capabilities to ensure the safety and reliability of the system;
2. the decision making capability of conventional systems is limited by predefined rules and algorithms, which often lack the ability to adapt to uncertainties, complex traffic conditions, and unusual driving behaviors, which can lead to inadequate flexibility, lack of innovativeness, and pertinence in decision making.
Disclosure of Invention
The invention aims to provide an intelligent network-connected automobile advanced auxiliary driving system and an automatic driving system testing platform so as to solve the problems in the background technology.
In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent network-connected automobile advanced auxiliary driving system and an automatic driving system test platform, which comprises
The auxiliary system is respectively connected with a cruising module, an algorithm module, a monitoring module, an early warning module, a braking module, an identification module, an auxiliary module and a fusion module;
the test system is respectively connected with a simulation module, an analog module, a processing module, a data module and an evaluation module;
the fusion module is respectively connected with a preprocessing unit, an acquisition unit, a feature extraction module, a data fusion module and a planning module.
Further, the cruising module is respectively connected with a control unit, a forward sensor, a tracking unit, a planning unit and a speed control unit.
Further, the auxiliary module is respectively connected with a front sensor, a visual processing unit, a feedback unit, an adjusting unit, lane departure detection and a human-computer interface.
Further, the monitoring module is respectively connected with a blind spot detection, a side sensor, an alarm and a warning unit, and a blind spot detection algorithm is arranged in the blind spot detection.
Further, the early warning module is respectively connected with a warning system, an obstacle detection, a collision evaluation unit and a buzzer, and an obstacle detection algorithm is arranged in the obstacle detection.
Further, the simulation module is respectively connected with a scene generator, a sensor simulation, a physical engine, a visualization unit, a vehicle model and a control algorithm.
Further, the simulation module is respectively connected with an identification algorithm, object detection, data conversion and simulation errors.
Further, the identification module is configured with an image processor.
Further, the forward sensor and the side sensor use ultrasonic radar or ultrasonic sensor.
Furthermore, the front sensor uses a high-definition camera.
Compared with the prior art, the invention has the beneficial effects that:
1. the fusion module in the invention can fuse the data from different sensors to comprehensively consider the advantages and disadvantages of the sensors, obtain a more comprehensive and accurate environment sensing result, for example, can combine vision and distance information to provide more reliable obstacle detection and tracking by using a camera and radar data simultaneously, can fuse the data from different information sources, such as vehicle positioning, map data, weather information, traffic flow and the like, and can better know the state of the current road environment and make more accurate decisions by comprehensively considering the information, for example, can provide more accurate lane keeping and navigation guidance by combining the vehicle positioning and the map data;
2. the invention uses computer simulation software to create virtual road scene and traffic condition to test the response and decision capability of the automatic driving system under various complex conditions, realizes the simulation of real world scene and vehicle behavior in the simulation environment by the mutual cooperation of scene generator, sensor simulation, physical engine, visualization unit, vehicle model, control algorithm and the like in the simulation module, so as to carry out applications such as driving behavior research, vehicle algorithm test, system development and the like, and jointly constructs a controllable, repeatable and safe virtual environment to provide an effective platform for evaluating and verifying the performance and safety of the automatic driving system;
3. the simulation module provided by the invention can generate sensor data similar to actual scenes by simulating the output of sensors used by a vehicle, such as a radar, a laser radar, a camera and the like, and provide the sensor data for an automatic driving system to process and make decisions, and the simulation module aims at providing real-world sensor data for a vehicle model so as to simulate the perception capability of the automatic driving system on a real road.
Drawings
FIG. 1 is a schematic diagram of an auxiliary system of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform;
FIG. 2 is a schematic diagram of a cruise module of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
FIG. 3 is a schematic diagram of an auxiliary module of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
FIG. 4 is a schematic diagram of a monitoring module of a test platform of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system of the invention;
FIG. 5 is a schematic diagram of an early warning module of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
FIG. 6 is a schematic diagram of a fusion module of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
FIG. 7 is a schematic diagram of a test system of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
FIG. 8 is a schematic diagram of a simulation module of an intelligent network-connected vehicle advanced auxiliary driving system and an automatic driving system test platform according to the present invention;
fig. 9 is a schematic diagram of a simulation module of an intelligent network-connected advanced auxiliary driving system and an automatic driving system test platform of the present invention.
In the figure: 1. an auxiliary system; 2. a test system; 3. a cruise module; 4. an algorithm module; 5. a monitoring module; 6. an early warning module; 7. a brake module; 8. an identification module; 9. an auxiliary module; 10. a fusion module; 11. a simulation module; 12. a simulation module; 13. a processing module; 14. a data module; 15. an evaluation module; 16. a preprocessing unit; 17. an acquisition unit; 18. extracting features; 19. data fusion; 20. a planning module; 21. a control unit; 22. a forward sensor; 23. a tracking unit; 24. a planning unit; 25. a speed control unit; 26. a front sensor; 27. a vision processing unit; 28. a feedback unit; 29. an adjusting unit; 30. lane departure detection; 31. a human-machine interface; 32. detecting blind spots; 33. a side sensor; 34. an alarm; 35. a warning unit; 36. a warning system; 37. detecting an obstacle; 38. a collision evaluation unit; 39. a buzzer; 40. a scene generator; 41. simulating a sensor; 42. a physical engine; 43. a visualization unit; 44. a vehicle model; 45. a control algorithm; 46. an identification algorithm; 47. detecting an object; 48. converting data; 49. simulating errors.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1-9, the present invention provides a technical solution: the intelligent network-connected automobile advanced auxiliary driving system and automatic driving system testing platform comprises an auxiliary system 1, wherein the auxiliary system 1 is respectively connected with a cruising module 3, an algorithm module 4, a monitoring module 5, an early warning module 6, a braking module 7, an identification module 8, an auxiliary module 9 and a fusion module 10, and the identification module 8 is provided with an image processor; the test system 2 is respectively connected with a simulation module 11, a simulation module 12, a processing module 13, a data module 14 and an evaluation module 15; the fusion module 10 is respectively connected with a preprocessing unit 16, an acquisition unit 17, a feature extraction 18, a data fusion 19 and a planning module 20.
In particular, intelligent networked automobiles are typically equipped with a variety of sensors, including cameras, lidars, radar and ultrasonic sensors, etc., which can provide different types and angles of information, the fusion module 10 can fuse the data from the different sensors to comprehensively consider their advantages and disadvantages, obtain a more comprehensive and accurate environmental perception result, for example, by using both camera and radar data, can provide more reliable obstacle detection and tracking in combination with vision and distance information, and can fuse the data from different information sources, such as vehicle location, map data, weather information, traffic flow, etc., by comprehensively considering these information, the system can better understand the state of the current road environment and make more accurate decisions, for example, in combination with vehicle location and map data, the system can provide more accurate lane keeping and navigation guidance.
As shown in fig. 2, the cruise module 3 is respectively connected with a control unit 21, a forward sensor 22, a tracking unit 23, a planning unit 24 and a speed control unit 25, wherein the forward sensor 22 uses an ultrasonic radar or an ultrasonic sensor;
specifically, the cruising module 3 is a functional module in an intelligent network-connected automobile advanced auxiliary driving system, and based on a sensor and a control system, allows the automobile to automatically adjust the speed on the premise of keeping a safe distance, and the cruising module 3 monitors the distance of the front automobile by using a sensor such as a radar or a camera and automatically adjusts the speed of the automobile so as to keep the safe distance from the front automobile;
as shown in fig. 3, the auxiliary module 9 is respectively connected with a front sensor 26, a vision processing unit 27, a feedback unit 28, an adjusting unit 29, a lane departure detection 30 and a man-machine interface 31, wherein the front sensor 26 uses a high-definition camera;
specifically, the auxiliary module 9 is a functional module in an advanced auxiliary driving system of an intelligent network-connected automobile, which can help a driver keep the position of the vehicle in a lane, the auxiliary module 9 uses a camera or a sensor to monitor the position of the vehicle in the lane, and when the vehicle deviates from the lane, the system can give a warning or slightly and automatically adjust the vehicle to help the driver keep the vehicle in the lane;
as shown in fig. 4, the monitoring module 5 is respectively connected with a blind spot detection 32, a side sensor 33, an alarm 34 and a warning unit 35, wherein a blind spot algorithm is built in the blind spot detection 32, and the side sensor 33 uses an ultrasonic radar or an ultrasonic sensor;
specifically, the monitoring module 5 is a functional module in the advanced auxiliary driving system of the intelligent network-connected automobile, and is aimed at providing monitoring and warning for the blind spot area of the automobile, the monitoring module 5 monitors the blind spot area around the automobile by using a sensor, and when other automobiles enter the blind spot area, the system can provide warning to help the driver identify possible collision risks;
as shown in fig. 5, the early warning module 6 is respectively connected with a warning system 36, an obstacle detection 37, a collision evaluation unit 38 and a buzzer 39, and the obstacle detection 37 is internally provided with an obstacle detection algorithm;
specifically, the early warning module 6 is a functional module in the advanced auxiliary driving system of the intelligent network-connected automobile, and aims to provide monitoring and early warning for front obstacles and possible collision risks, and the early warning module 6 monitors the front obstacles by using sensors such as radar, cameras or laser and provides warning for a driver so as to reduce the risk of front collision;
as shown in fig. 8, the simulation module 11 is connected with a scene generator 40, a sensor simulation 41, a physical engine 42, a visualization unit 43, a vehicle model 44, and a control algorithm 45, respectively;
specifically, virtual road scenes and traffic conditions are created by using computer simulation software to test the response and decision capability of the automatic driving system under various complex conditions, and the scene generator 40, the sensor simulation 41, the physical engine 42, the visualization unit 43, the vehicle model 44, the control algorithm 45 and the like in the simulation module 11 cooperate with each other to realize the simulation of real-world scenes and vehicle behaviors in the simulation environment so as to perform applications such as driving behavior research, vehicle algorithm test and system development, and the like, so that a controllable, repeatable and safe virtual environment is jointly constructed, and an effective platform is provided for evaluating and verifying the performance and the safety of the automatic driving system;
as shown in fig. 9, the simulation module 12 is connected with an identification algorithm 46, an object detection 47, a data conversion 48 and a simulation error 49, respectively;
specifically, the simulation module 12 generates sensor data similar to actual scenes by simulating the output of sensors used by the vehicle, such as radar, lidar, cameras, etc., and provides it to the autopilot system for processing and decision-making, the simulation module 12 aims to provide real world sensor data to the vehicle model 44 to enable it to simulate the autopilot system's perception capabilities on real roads, and by simulating the functions and principles of operation of the various sensors, the simulation module 12 can help evaluate and verify the autopilot system's perception capabilities, decision-making, and capability to cope with complex traffic environments
Working principle: intelligent networked automobiles are typically equipped with a variety of sensors including cameras, lidars, radar and ultrasonic sensors, etc., which can provide different types and angles of information, the fusion module 10 can fuse the data from the different sensors to comprehensively consider their advantages and disadvantages, obtain a more comprehensive and accurate environmental perception result, through the simultaneous use of the cameras and radar data, can combine vision and distance information to provide more reliable obstacle detection and tracking, can fuse the data from different information sources, vehicle positioning, map data, weather information, traffic flow, etc., by comprehensively considering these information, the system can better understand the state of the current road environment and make more accurate decisions, and can provide more accurate lane keeping and navigation guidance in combination with vehicle positioning and map data, the cruise module 3 is used for allowing the vehicle to automatically adjust the speed of the vehicle on the premise of keeping a safe distance, the cruise module 3 uses sensors such as a radar or a camera to monitor the distance of the vehicle in front, and automatically adjusts the speed of the vehicle to keep a safe distance from the vehicle in front, the auxiliary module 9 uses the camera or the sensor to monitor the position of the vehicle in a lane, when the vehicle deviates from the lane, the system gives a warning or carries out slight automatic adjustment on the vehicle to help the driver keep in the lane, the monitoring module 5 uses the sensor to monitor blind spot areas around the vehicle, when other vehicles enter the blind spot areas, the system provides a warning to help the driver identify possible collision risks, the early warning module 6 uses the sensors such as the radar, the camera or the laser to monitor the obstacle in front, and provides warning to the driver, to reduce the risk of a frontal collision.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An intelligent network allies oneself with car advanced auxiliary driving system and autopilot system test platform, its characterized in that: comprising
The system comprises an auxiliary system (1), wherein the auxiliary system (1) is respectively connected with a cruising module (3), an algorithm module (4), a monitoring module (5), an early warning module (6), a braking module (7), an identification module (8), an auxiliary module (9) and a fusion module (10);
the test system (2) is respectively connected with a simulation module (11), a simulation module (12), a processing module (13), a data module (14) and an evaluation module (15);
the fusion module (10) is respectively connected with a preprocessing unit (16), an acquisition unit (17), feature extraction (18), data fusion (19) and a planning module (20).
2. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the cruise module (3) is respectively connected with a control unit (21), a forward sensor (22), a tracking unit (23), a planning unit (24) and a speed control unit (25).
3. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 2 wherein: the auxiliary module (9) is respectively connected with a front sensor (26), a visual processing unit (27), a feedback unit (28), an adjusting unit (29), lane departure detection (30) and a human-computer interface (31).
4. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the monitoring module (5) is respectively connected with a blind spot detection (32), a side sensor (33), an alarm (34) and a warning unit (35), and a blind spot detection algorithm is arranged in the blind spot detection (32).
5. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the early warning module (6) is respectively connected with a warning system (36), an obstacle detection (37), a collision evaluation unit (38) and a buzzer (39), and an obstacle detection algorithm is arranged in the obstacle detection (37).
6. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the simulation module (11) is respectively connected with a scene generator (40), a sensor simulation (41), a physical engine (42), a visualization unit (43), a vehicle model (44) and a control algorithm (45).
7. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the simulation module (12) is respectively connected with an identification algorithm (46), an object detection (47), a data conversion (48) and a simulation error (49).
8. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 1 wherein: the identification module (8) is provided with an image processor.
9. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as defined in claim 3 wherein: the forward sensor (22) and the side sensor (33) use ultrasonic radar or ultrasonic sensors.
10. An intelligent network-connected automotive advanced driver assistance system and autopilot system test platform as claimed in claim 9 wherein: the front sensor (26) uses a high-definition camera.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310949603.5A CN117008574A (en) | 2023-07-31 | 2023-07-31 | Intelligent network allies oneself with car advanced auxiliary driving system and autopilot system test platform |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202310949603.5A CN117008574A (en) | 2023-07-31 | 2023-07-31 | Intelligent network allies oneself with car advanced auxiliary driving system and autopilot system test platform |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117698762A (en) * | 2023-12-12 | 2024-03-15 | 海识(烟台)信息科技有限公司 | Intelligent driving assistance system and method based on environment perception and behavior prediction |
-
2023
- 2023-07-31 CN CN202310949603.5A patent/CN117008574A/en not_active Withdrawn
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117698762A (en) * | 2023-12-12 | 2024-03-15 | 海识(烟台)信息科技有限公司 | Intelligent driving assistance system and method based on environment perception and behavior prediction |
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