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
14.08.2024
Patent
Elektronische Ressource
Englisch
IPC: | G06V / B60Q ARRANGEMENT OF SIGNALLING OR LIGHTING DEVICES, THE MOUNTING OR SUPPORTING THEREOF OR CIRCUITS THEREFOR, FOR VEHICLES IN GENERAL , Anordnung von Signal- oder Beleuchtungsvorrichtungen, deren Einbau oder Halterung oder deren Schaltkreise bei Fahrzeugen allgemein / F21S Ortsfeste Leuchten , NON-PORTABLE LIGHTING DEVICES |
Deep learning based beam control for autonomous vehicles
Europäisches Patentamt | 2023
|Deep Learning Based Beam Control for Autonomous Vehicles
Europäisches Patentamt | 2023
|DEEP LEARNING BASED BEAM CONTROL FOR AUTONOMOUS VEHICLES
Europäisches Patentamt | 2023
|DEEP LEARNING BASED BEAM CONTROL FOR AUTONOMOUS VEHICLES
Europäisches Patentamt | 2025
Deep Learning & Autonomous Vehicles
TIBKAT | 2018
|