Statements (51)
| Predicate | Object |
|---|---|
| gptkbp:instanceOf |
gptkb:dataset
|
| gptkbp:access |
public
|
| gptkbp:annotationType |
instance segmentation
bounding boxes depth maps semantic labels |
| gptkbp:bench |
object detection
visual odometry semantic segmentation optical flow road and lane estimation 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 |
GPS data
calibration data 3D point clouds color images IMU data grayscale images |
| gptkbp:createdBy |
gptkb:Toyota_Technological_Institute_at_Chicago
gptkb:Karlsruhe_Institute_of_Technology |
| gptkbp:database |
gptkb:Cityscapes
gptkb:Waymo_Open_Dataset gptkb:nuScenes |
| gptkbp:domain |
computer vision
|
| gptkbp:focusArea |
stereo camera
|
| gptkbp:format |
PNG
bin txt |
| gptkbp:frequency |
static
|
| https://www.w3.org/2000/01/rdf-schema#label |
KITTI Dataset
|
| gptkbp:language |
English
|
| gptkbp:license |
non-commercial
|
| gptkbp:locationCollected |
gptkb:Karlsruhe,_Germany
|
| gptkbp:numberOfRooms |
over 40,000
|
| gptkbp:numberOfSequences |
22
|
| gptkbp:releaseYear |
2012
|
| gptkbp:resolution |
1242x375
|
| gptkbp:sensorType |
gptkb:GPS
gptkb:IMU gptkb:Velodyne_HDL-64E_LiDAR |
| gptkbp:usedFor |
stereo vision
object detection visual odometry autonomous driving research optical flow scene flow |
| gptkbp:vehicleType |
station wagon
|
| gptkbp:website |
http://www.cvlibs.net/datasets/kitti/
|
| gptkbp:bfsParent |
gptkb:Pedestrian_Detection
|
| gptkbp:bfsLayer |
7
|