Research

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Obstacle map for unmanned surface vehicle

Objective

To develop a detection system for a fast moving unmanned Surface Vehicle (USV) to keep track of obstacles within the range of 1000 m radius.


Description

The primary sensor in this application is a digital camera, incorporated with a GPS, that enables detection of obstacle features based on the maritime images. The output of the algorithm is a grid map that use arrays of discretized cells to represent the topology of the open sea, and make inferences about which cells are occupied with obstacles, such as tankers, buoys etc.


Result

Obstacle located over 1000m away was detected using the maritime image (left) and pinpointed as a red marker in the Google map (right).



Principal Investigators


Associate Prof. Wang Han (NTU)

Telephone: 6790 4506
Office: S2-B2b-49
Email: hw@ntu.edu.sg
Mr. Paul Tan (STE)

Telephone: 6660 1052
Office: S1-B4a-03
Email: paultan@stengg.com