Provided are systems and methods for a deep learning based beam control. Sensor data associated with the environment and the corresponding detected objects from a perception system are obtained. Object features and image features are extracted. The extracted object features and image features are fused into fused features. A beam control status is predicted according to the fused features, wherein the beam control status indicates a high beam illumination intensity or a low beam illumination intensity of a light emitting device.
Deep learning based beam control for autonomous vehicles
2023-07-18
Patent
Elektronische Ressource
Englisch
Deep learning based beam control for autonomous vehicles
Europäisches Patentamt | 2023
|DEEP LEARNING BASED BEAM CONTROL FOR AUTONOMOUS VEHICLES
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