3D Vehicle Detection

3D vehicle detection aims to accurately locate and characterize vehicles in three-dimensional space using images or sensor data, primarily to enhance autonomous driving safety and efficiency. Current research emphasizes improving accuracy and efficiency through novel loss functions (e.g., polygon IoU loss), architectures incorporating transformation equivariance or dense voxel fusion for multi-sensor data, and methods that directly predict 3D bounding box parameters from monocular images. These advancements are crucial for improving the robustness and reliability of perception systems in autonomous vehicles and intelligent transportation systems.