Methods of determining relevance of objects that a vehicle detected are disclosed. A system will receive a data log of a run of the vehicle. The data log includes perception data captured by vehicle sensors during the run. The system will identify an interaction time, along with a look-ahead lane based on a lane in which the vehicle traveled during the run. The system will define a region of interest (ROI) that includes a lane segment within the look-ahead lane. The system will identify, from the perception data, objects that the vehicle detected within the ROI during the run. For each object, the system will determine a detectability value by measuring an amount of the object that the vehicle detected. The system will create a subset with only objects having at least a threshold detectability value, and it will classify any such object as a priority relevant object.
USING RELEVANCE OF OBJECTS TO ASSESS PERFORMANCE OF AN AUTONOMOUS VEHICLE PERCEPTION SYSTEM
2022-12-01
Patent
Electronic Resource
English
Using relevance of objects to assess performance of an autonomous vehicle perception system
European Patent Office | 2024
|USING RELEVANCE OF OBJECTS TO ASSESS PERFORMANCE OF AN AUTONOMOUS VEHICLE PERCEPTION SYSTEM
European Patent Office | 2022
|Evaluating performance of autonomous vehicle perception system using relevance of objects
European Patent Office | 2024
|PERCEPTION SYSTEM FOR ASSESSING RELEVANCE OF OBJECTS IN AN ENVIRONMENT OF AN AUTONOMOUS VEHICLE
European Patent Office | 2022
|