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- The KITTI Vision Benchmark Suite - Cvlibs
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 are: stereo, optical flow, visual odometry, 3D object detection and 3D tracking
- The KITTI Vision Benchmark Suite - Cvlibs
Karl Rosaen (U Mich) has released code to convert between KITTI, KITTI tracking, Pascal VOC, Udacity, CrowdAI and AUTTI formats Jonas Heylen (TRACE vzw) has released pixel accurate instance segmentations for all 7481 training images
- The KITTI Vision Benchmark Suite - Cvlibs
Vipin Sharma has written a guide to better understand the KITTI sensor coordinate systems; Mark Muth has written a QT-based visualizer for point cloud and tracklet sequences Yani Ioannou (University of Toronto) has put together some tools for working with KITTI raw data using the PCL
- Are we ready for Autonomous Driving? The KITTI Vision . . . - Cvlibs
able online at: www cvlibs net datasets kitti 1 Introduction Developing autonomous systems that are able to assist humans in everyday tasks is one of the grand challenges in modern computer science One example are autonomous driving systems which can help decrease fatalities caused by traffic accidents While a variety of novel sensors have
- Vision meets Robotics: The KITTI Dataset - Cvlibs
Vision meets Robotics: The KITTI Dataset Andreas Geiger, Philip Lenz, Christoph Stiller and Raquel Urtasun Abstract—We present a novel dataset captured from a VW station wagon for use in mobile robotics and autonomous driving research In total, we recorded 6 hours of traffic scenarios at 10-100 Hz using a variety of sensor modalities such
- KITTI-360: A large-scale dataset with 3D 2D annotations - Cvlibs
KITTI-360: A large-scale dataset with 3D 2D annotations Turn on your audio and enjoy our trailer!
- Object Scene Flow for Autonomous Vehicles - Cvlibs
KITTI treat the flow and stereo problem separately To the best of our knowledge, there currently does not exist any realistic benchmark dataset providing dynamic ob-jects and ground truth for the evaluation of scene flow or optical flow approaches In this paper, we take advantage of the KITTI raw data [11] to create a realistic and chal-
- Andreas Geiger
Most influential CVPR papers: Differentiable Volumetric Rendering #15 in 2020, Occupancy Networks #14 in 2019, KITTI #1 in 2012 ; Most influential ECCV papers: ConvOccNets #13 in 2020, TensoRF #2 in 2022
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