LiDAR Camera Fusion

LiDAR-camera fusion aims to combine the strengths of LiDAR's precise 3D geometry and camera's rich semantic information for improved perception in applications like autonomous driving and robotics. Current research focuses on developing robust fusion methods, often employing transformer-based architectures or other deep learning models to effectively integrate multi-modal data at various levels (e.g., early, late, or feature-level fusion). These advancements enhance 3D object detection, tracking, and scene understanding, leading to more reliable and safer autonomous systems.