Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:annotationType |
instance segmentation
bounding boxes depth maps semantic labels odometry ground truth optical flow ground truth |
| gptkbp:bench |
object detection
visual odometry semantic segmentation optical flow scene flow stereo matching |
| gptkbp:citation |
Andreas Geiger, Philip Lenz, Raquel Urtasun. 'Are we ready for Autonomous Driving? The KITTI Vision Benchmark Suite.' CVPR 2012.
|
| gptkbp:contains |
vehicles
pedestrians cyclists urban environments rural environments road scenes |
| gptkbp:domain |
computer vision
|
| gptkbp:focusArea |
stereo camera
|
| gptkbp:fullName |
Karlsruhe Institute of Technology and Toyota Technological Institute dataset
|
| https://www.w3.org/2000/01/rdf-schema#label |
KITTI
|
| gptkbp:license |
non-commercial
|
| gptkbp:location |
gptkb:Karlsruhe,_Germany
|
| gptkbp:notableCollection |
gptkb:Toyota_Technological_Institute_at_Chicago
gptkb:Karlsruhe_Institute_of_Technology |
| gptkbp:numberOfLidarScans |
over 40,000
|
| gptkbp:numberOfRooms |
over 40,000
|
| gptkbp:numberOfSequences |
22
|
| gptkbp:releaseYear |
2012
|
| gptkbp:sensorType |
gptkb:GPS
gptkb:IMU gptkb:Velodyne_HDL-64E_LIDAR |
| gptkbp:type |
gptkb:DVD
images GPS/IMU data LIDAR point clouds |
| gptkbp:usedBy |
machine learning community
autonomous vehicle researchers computer vision community |
| gptkbp:usedFor |
stereo vision
visual odometry autonomous driving research optical flow scene flow 3D object detection |
| gptkbp:website |
http://www.cvlibs.net/datasets/kitti/
|
| gptkbp:bfsParent |
gptkb:Computer_Vision
|
| gptkbp:bfsLayer |
6
|