KITTI 3D benchmark

The KITTI 3D benchmark is a dataset used to evaluate the performance of 3D object detection algorithms, containing various real-world driving scenarios with annotated 3D bounding boxes for vehicles and pedestrians.

Papers using KITTI 3D benchmark (2)

MonoDINO-DETR: Depth-Enhanced Monocular 3D Object Detection Using a Vision Foundation Model2025 · 1 citesSelf-Supervised Representation Learning with Joint Embedding Predictive Architecture for Automotive LiDAR Object Detection2025