3D Bounding Box

3D bounding boxes are three-dimensional rectangular prisms used to enclose and locate objects within a scene, primarily in computer vision and robotics. Current research focuses on improving the accuracy and robustness of 3D bounding box detection and prediction, particularly in challenging scenarios like those with occlusions, noisy data (e.g., from radar), or limited labeled data, employing techniques such as multi-modal fusion (camera and LiDAR), uncertainty modeling, and generative models. These advancements are crucial for applications ranging from autonomous driving and robotics to medical image analysis and virtual/augmented reality, enabling more reliable and efficient object recognition and scene understanding.