Vision-based Coordinated Control of Multiple Autonomous Vehicles

The general purpose of this joint project is to bring together the critical mass and complementary expertise of Scottish and Chinese researchers and develop, through exchange of research staff visits, novel vision-based algorithms for the coordinated control of multiple autonomous vehicles. Multiple autonomous vehicle systems (MAVS) have the ability to perform dangerous, repetitive and automated tasks in remote or hazardous environments.
This joint-project aims to address two fundamental research challenges related to the development of novel vision-based coordinated control of multiple autonomous vehicles. The first research challenge is related to real-time image information processing and utilisation, i.e., how to quickly and efficiently extract and analyse image information from consecutive images acquired by the MAVS. The second research challenge is concerned with designing adaptive autonomous vision(imabased vehicle controllers by exploiting the extracted and analysed image information to cooperatively control the MAVS, and also improve the MAVS’s capabilities, such as surveillance, target acquisition and tracking, etc.
Funded by the The Royal Society of Edinburgh (RSE), £12,000

Funded by the The Royal Society of Edinburgh (RSE), £12,000