To develop visual SLAM, obstacle detection and tracking as well as road feature detection system for a hig h-speed unmanned ground vehicle using real-time stereo vision.
The focus of this project is on developing computationally efficient algorithms that support obstacle detection and terrain classification using stereo vision techniques. The development of long-range advanced stereo vision techniques, as compared to other techniques that depend on active vision i.e. lidar, enables low-cost implementation of obstacle detection and collision avoidance for autonomous vehicles. The stereovision system aims to achieve both distant object detection up to 50m and robust localisation at a maximum speed of 50 km/h.
Detection and segmentation of obstacle up to 50m.
Real-time loop closure scenario at 50 km/h
|Associate Prof. Wang Han (NTU)
Telephone: 6790 4506
|Mr. Paul Tan (STE)
Telephone: 6660 1052