CN107992016A - A kind of automatic driving vehicle analog detection method - Google Patents
A kind of automatic driving vehicle analog detection method Download PDFInfo
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- CN107992016A CN107992016A CN201610947265.1A CN201610947265A CN107992016A CN 107992016 A CN107992016 A CN 107992016A CN 201610947265 A CN201610947265 A CN 201610947265A CN 107992016 A CN107992016 A CN 107992016A
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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
- G05B23/0218—Electric testing or monitoring by means of a monitoring system capable of detecting and responding to faults characterised by the fault detection method dealing with either existing or incipient faults
- G05B23/0221—Preprocessing measurements, e.g. data collection rate adjustment; Standardization of measurements; Time series or signal analysis, e.g. frequency analysis or wavelets; Trustworthiness of measurements; Indexes therefor; Measurements using easily measured parameters to estimate parameters difficult to measure; Virtual sensor creation; De-noising; Sensor fusion; Unconventional preprocessing inherently present in specific fault detection methods like PCA-based methods
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Abstract
Description
Claims (6)
- A kind of 1. automatic driving vehicle analog detection method, it is characterised in that including:Simulating scenes are established, generate the emulation data of simulating scenes;Obtain unmanned testing algorithm and the operation result after computing is carried out to the emulation data, it is true according to the operation result The performance of fixed unmanned testing algorithm.
- 2. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the acquisition is unmanned Testing algorithm carries out the operation result after computing to the emulation data, determines that unmanned test is calculated according to the operation result The performance of method, specifically includes:Unmanned testing algorithm is obtained to carry out the emulation data after computing to the controlled quentity controlled variable of vehicle, the controlled quentity controlled variable is defeated Enter vehicle motion simulator;Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of the unmanned testing algorithm.
- 3. automatic driving vehicle analog detection method according to claim 2, it is characterised in that the unmanned test Algorithm includes decision making algorithm, planning algorithm and control algolithm, it is described obtain unmanned testing algorithm to the emulation data into Operation result after row computing, the performance of unmanned testing algorithm is determined according to the operation result, is specifically included:Obstacle information, traffic marking board information and lane line information of the decision making algorithm in emulation data judge vehicle drive Behavior;Planning algorithm carries out vehicle running path planning according to driving behavior;Control algolithm is planned according to vehicle running path, the location information and course information of this car, is determined needed for vehicle traveling Controlled quentity controlled variable, vehicle motion simulator is inputted by the controlled quentity controlled variable;Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of decision making algorithm, planning algorithm and control algolithm.
- 4. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the unmanned test Algorithm includes perception algorithm or location algorithm, after the unmanned testing algorithm of acquisition carries out computing to the emulation data Operation result, the performance of unmanned testing algorithm is determined according to the operation result, is specifically included:Obtain the sensor raw data produced according to the emulation data;The sensing results after the perception algorithm handles the sensor raw data are obtained, or obtain the positioning Algorithm the sensor raw data is handled after positioning result;By the sensing results compared with the emulation data, the performance of the perception algorithm is determined according to comparative result, Or by the positioning result compared with the emulation data, the performance of the location algorithm is determined according to comparative result.
- 5. automatic driving vehicle analog detection method according to claim 4, it is characterised in that the acquisition is unmanned Testing algorithm carries out the operation result after computing to the emulation data, determines that unmanned test is calculated according to the operation result The performance of method, specifically includes:At least one controlled quentity controlled variable is inputted to vehicle motion simulator so that at least one row of vehicle motion simulator simulating vehicle Car state;Obtain under the driving states, the sensor raw data produced according to the emulation data;The sensing results after the perception algorithm handles the sensor raw data are obtained, or obtain the positioning Algorithm the sensor raw data is handled after positioning result;By the sensing results compared with the emulation data, the performance of the perception algorithm is determined according to comparative result, Or by the positioning result compared with the emulation data, the performance of the location algorithm is determined according to comparative result.
- 6. automatic driving vehicle analog detection method according to claim 1, it is characterised in that the unmanned test Algorithm includes decision making algorithm, planning algorithm, control algolithm, perception algorithm or location algorithm, described to obtain unmanned test calculation Method carries out the operation result after computing to the emulation data, and the property of unmanned testing algorithm is determined according to the operation result Can, specifically include:Obtain the sensor raw data produced according to the emulation data;Obtain the sensing results after the unmanned testing algorithm handles the sensor raw data and positioning is tied Fruit;The unmanned testing algorithm is obtained to carry out the sensing results and positioning result after computing to the controlled quentity controlled variable of vehicle, The controlled quentity controlled variable is inputted into vehicle motion simulator;Vehicle motion simulator vehicle actual travel track according to caused by the controlled quentity controlled variable is obtained, it is actual using the vehicle Driving trace determines the performance of the unmanned testing algorithm.
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