opendilab/InterFuser
A CoRL 2022 research project implementing interpretable transformer-based sensor fusion for safety-enhanced autonomous driving.

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InterFuser processes and fuses multi-modal multi-view sensor data (cameras, LiDAR) using transformer architectures to achieve comprehensive scene understanding for autonomous vehicles. The framework generates interpretable intermediate features used to constrain actions within safe sets. It achieved new state-of-the-art performance on the CARLA Autonomous Driving Leaderboard in June 2022.