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 novel and... View 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. View 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-time object... View More
Blogs are very useful for Ph.D.s to show some innovative ideas, technical tutorials, and some interesting stories. Create a blog under the GitHub Pages is really easy by introducing some static site generator like "Jekyll". In this post, I will gu... View More
