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 tasks of interest …

The odometry benchmark consists of 22 stereo sequences, saved in loss less png format: We provide 11 sequences (00-10) with ground truth trajectories for training and 11 sequences (11-21) without …

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 submissions with …

Mennatullah Siam has created the KITTI MoSeg dataset with ground truth annotations for moving object detection. Hazem Rashed extended KittiMoSeg dataset 10 times providing ground truth annotations …

The depth completion and depth prediction evaluation are related to our work published in Sparsity Invariant CNNs (THREEDV 2017). It contains over 93 thousand depth maps with corresponding raw …

KITTI supports open research leading to novel insights and driving forward the community. We only allow submissions that differ significantly from prior art / prior submissions and that have the potential …

KITTI-360: A large-scale dataset with 3D&2D annotations Turn on your audio and enjoy our trailer! About We present a large-scale dataset that contains rich sensory information and full annotations. …

Abstract Today, visual recognition systems are still rarely em-ployed in robotics applications. Perhaps one of the main reasons for this is the lack of demanding benchmarks that mimic such scenarios. In …

The KITTI Vision Benchmark Suite KITTI-360: A large-scale dataset with 3D and 2D annotations SDFStudio: A Unified Framework for Surface Reconstruction Occupancy Networks: Learning 3D …

Object Detection Evaluation 2012 The object detection and object orientation estimation benchmark consists of 7481 training images and 7518 test images, comprising a total of 80.256 labeled objects. …