The Hong Kong Polytechnic University (PolyU) is committed to advancing innovative transportation technologies that shape the future of mobility. A novel PolyU research project to develop a vehicle type detection system using artificial intelligence (AI) and geographic information system (GIS) technologies has received support from the Smart Traffic Fund, helping to facilitate traffic management in Hong Kong.
Led by Prof. Qihao WENG, Chair Professor of Geomatics and Artificial Intelligence and Global STEM Scholar at the Department of Land Surveying and Geo-Informatics, Associate Director of the Research Institute for Land and Space, Director of the Research Centre for Artificial Intelligence in Geomatics (RCAIG) and JC STEM Lab of Earth Observations, the project titled “AI-Driven, GIS-Compatible Vehicle Type Detection System Riding on Fusion of Satellite, CCTV, and Geospatial Data” has received support from the Smart Traffic Fund, with approximately HK$3.23 million in funding over a duration of 24 months. With matching funds, this project will have a total budget of over HK$4.03 million.
This project aims to develop a vehicle type detection system based on satellite and CCTV images. It will address existing AI limitations, such as limited generalisation capability and complex background interference. By developing AI-powered image analysis technology and establishing a vehicle type detection system compatible with geographic information systems, the project will deliver precise vehicle data analytics to facilitate traffic management in Hong Kong.
The Smart Traffic Fund provides funding support to local organisations and enterprises for conducting research and applying innovation and technology with the objectives of enhancing commuting convenience, enhancing efficiency of the road network or road space, and improving driving safety.
| Research Units | Research Institute for Land and Space |
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