From feature maps to road maps.
3D localization of objects in road scenes is important for autonomous driving and advanced driver-assistance systems (ADAS). However, with common monocular camera setups, 3D information is difficult to obtain. In this paper, we propose a...
Read more →This post is going to describe object detection on KITTI dataset using three different detectors, YOLOv2, YOLOv3, Faster R-CNN and compare their performance evaluated by uploading the results to KITTI evaluation server.
Read more →KITTI dataset contains many real-world computer vision benchmarks for autonomous driving. There are many tasks including stereo, optical flow, visual odometry, 3D object detection and 3D tracking. YOLOv2 is a popular technique for real-t...
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