Camera Only 3D

Camera-only 3D object detection aims to reconstruct three-dimensional scenes and locate objects using only image data from multiple cameras, eliminating the need for expensive LiDAR sensors. Current research focuses on improving depth estimation accuracy through techniques like multi-agent collaboration, explicit height modeling in bird's-eye-view (BEV) representations, and leveraging knowledge transfer from multi-modal models. These advancements are significant because they offer a cost-effective and simpler alternative to LiDAR-based systems, with potential applications in autonomous driving and robotics, particularly where cost and sensor complexity are critical factors. Improved evaluation metrics that account for inherent limitations in camera-based depth estimation are also being developed to better assess progress in the field.