Camera LiDAR Fusion

Camera-LiDAR fusion integrates data from cameras and LiDAR sensors to improve the accuracy and robustness of perception systems, primarily for autonomous driving and robotics. Current research emphasizes efficient fusion techniques, often employing transformer-based architectures or other deep learning models to effectively combine complementary information from both modalities, focusing on tasks like 3D object detection, semantic segmentation, and multi-object tracking. These advancements are crucial for enhancing the safety and reliability of autonomous systems by providing a more comprehensive and accurate understanding of the surrounding environment.