Welcome to the KITTI Vision Benchmark Suite! We take advantage of our autonomous driving platform Annieway to develop novel challenging real-world computer vision benchmarks. Our …

Jack Borer has written a motion compensation library for the Lidar scans in the KITTI dataset. Note: We were not able to annotate all sequences and only provide those tracklet annotations …

Important Policy Update: As more and more non-published work and re-implementations of existing work is submitted to KITTI, we have established a new policy: from now on, only …

Virtual KITTI Dataset: Virtual KITTI contains 50 high-resolution monocular videos (21,260 frames) generated from five different virtual worlds in urban settings under different imaging and …

Karl Rosaen (U.Mich) has released code to convert between KITTI, KITTI tracking, Pascal VOC, Udacity, CrowdAI and AUTTIformats. We evaluate object detection performance using the …

In addition to the raw data, our KITTI website hosts evaluation benchmarks for several computer vision and robotic tasks such as stereo, optical flow, visual odometry, SLAM, 3D object …

Our goal is to reduce this bias by providing challenging benchmarks with novel difficulties to the computer vision community. Our benchmarks are avail-able online at: …

This setup is similar to the one used in KITTI, except that we gain a full 360° field of view due to the additional fisheye cameras and the pushbroom laser scanner while KITTI only provides …

It is based on the KITTI Tracking Evaluation 2012 and extends the annotations to the Multi-Object and Segmentation (MOTS) task. To this end, we added dense pixelwise segmentation labels …

KITTI-360 |-- calibration │ |-- calib_cam_to_pose.txt │ |-- calib_cam_to_velo.txt │ |-- calib_sick_to_velo.txt | |-- perspective.txt │ |-- image_02.yaml │ `-- image_03.yaml |-- …