3D Object Detection Task

3D object detection aims to identify and locate objects in three-dimensional space, a crucial task for applications like autonomous driving and robotics. Current research heavily emphasizes multi-modal sensor fusion (combining LiDAR, cameras, and radar), often employing transformer-based architectures and bird's-eye-view (BEV) representations to improve accuracy and robustness. These advancements address challenges like long-range perception, class imbalance, and the need for efficient, computationally lightweight models, ultimately improving the safety and reliability of autonomous systems and other applications relying on accurate 3D scene understanding.