DeepIPCv3: Event-Aware Multi-Modal Sensor Fusion for Sudden Pedestrian Crossing Avoidance
DeepIPCv3 is a novel autonomous driving framework that combines LiDAR and Dynamic Vision Sensor (DVS) data using transformer-based cross-modal attention to improve pedestrian collision avoidance. The system addresses critical safety gaps in frame-based perception by leveraging microsecond-level event streams, achieving state-of-the-art performance in sudden crossing scenarios.