3D Object Detection Model

3D object detection models aim to identify and locate objects within three-dimensional point cloud data, primarily from LiDAR sensors but increasingly incorporating camera data. Current research emphasizes improving accuracy and robustness, particularly in challenging conditions like occlusion, adverse weather, and cross-domain scenarios, often employing transformer-based architectures, range-view representations, and multi-sensor fusion techniques. These advancements are crucial for applications such as autonomous driving, robotics, and augmented reality, where reliable 3D perception is essential for safe and efficient operation.