ContextualFusion: Context-Based Multi-Sensor Fusion for 3D Object Detection in Adverse Operating Conditions

arXiv:2404.14780v1 Announce Type: new
Abstract: The fusion of multimodal sensor data streams such as camera images and lidar point clouds plays an important role in the operation of autonomous vehicles (AVs). Robust perception across a range of adverse weather and lighting conditions is specifically required for AVs to be deployed widely. While multi-sensor fusion networks have been previously developed for perception in sunny and clear weather conditions, these methods show a significant degradation in performance under night-time and poor weather …

3d object 3d object detection abstract arxiv autonomous autonomous vehicles avs context cs.cv data data streams detection fusion images lidar lighting multimodal object perception robust role sensor type vehicles weather