DynaFuser: Uncertainty-Aware Dynamic Multimodal Fusion for End-to-End Autonomous Driving
In the field of end-to-end autonomous driving, extreme visual degradation environments, such as nighttime and low-light conditions, often lead to a sharp decline in sensor perception capabilities, thereby triggering safety risks like trajectory deviation. Under such scenarios, significant feature distribution uncertain...