Compressing Transformer-Based Sensor Fusion Models for Autonomous Driving Using Curriculum-Based Multi-Task Knowledge Distillation
Multimodal sensor fusion architectures such as TransFuser achieve strong waypoint-based driving performance by fusing RGB panoramas and LiDAR bird’s-eye-view (BEV) representations through transformer attention, but their dual backbones and quadratic-cost fusion blocks preclude deployment on resource-constrained platfor...