Statements (63)
| Predicate | Object |
|---|---|
| gptkbp:instance_of |
gptkb:Database_Management_System
|
| gptkbp:bfsLayer |
4
|
| gptkbp:bfsParent |
gptkb:Mask_R-CNN
|
| gptkbp:contains |
stereo images
3 D object annotations Li DAR data optical flow data |
| gptkbp:created_by |
gptkb:Karlsruhe_Institute_of_Technology
|
| gptkbp:data_type |
point cloud data
sensor data image data video data |
| gptkbp:features |
night scenes
urban scenes rural scenes highway scenes |
| gptkbp:has_version |
raw data
tracking data object detection data optical flow data stereo data |
| https://www.w3.org/2000/01/rdf-schema#label |
KITTI dataset
|
| gptkbp:includes |
tracking data
|
| gptkbp:is_available_on |
gptkb:software
http://www.cvlibs.net/datasets/kitti/ |
| gptkbp:is_cited_in |
numerous research papers
|
| gptkbp:is_evaluated_by |
gptkb:KITTI_benchmark
|
| gptkbp:is_part_of |
robotics research
|
| gptkbp:is_popular_in |
augmented reality
object detection robot perception scene understanding SLAM (Simultaneous Localization and Mapping) 3 D reconstruction self-driving car development |
| gptkbp:is_related_to |
gptkb:Mapillary_Vistas_dataset
gptkb:Waymo_Open_dataset gptkb:nu_Scenes_dataset gptkb:Cityscapes_dataset Apollo Scape dataset |
| gptkbp:is_used_by |
academic institutions
industry researchers |
| gptkbp:is_used_for |
real-time processing
navigation systems traffic analysis data augmentation feature extraction image segmentation model training path planning semantic segmentation pedestrian detection visual odometry autonomous driving research environment perception vehicle detection depth estimation algorithm evaluation sensor fusion research |
| gptkbp:provides |
benchmarking for algorithms
|
| gptkbp:release_year |
gptkb:2012
|
| gptkbp:supports |
machine learning models
|
| gptkbp:used_in |
computer vision research
|