Autonomous vehicles utilize perception and understanding of road users and road objects to predict behaviors of the road users and road objects, and to plan a trajectory for the vehicle. Improved perception and understanding of the AV's surroundings can improve the AV's behavior around drivable objects, non-drivable road objects, construction zones, and temporary road closures. Improved perception and understanding of the AV's surroundings can also reduce the chances of the AV getting stuck and the need to be retrieved physically. To offer additional understanding capabilities, an additional understanding model is added to the perception and understanding pipeline to improve classification of road objects and extraction of attributes of the road objects. The implementation of the understanding model itself and placement of the model within the pipeline balance recall and precision performance metrics and computational complexity.
PERCEPTION AND UNDERSTANDING OF ROAD USERS AND ROAD OBJECTS
2024-12-05
Patent
Electronic Resource
English
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