Due to the limitations of an autonomous vehicle’s sensing and perception system, such as limited detection range and sensor blind spots, its ability to respond to unexpected situations is still concerned.
With considerations on cost and safety, an active safety control system with roadside Light Detection And Ranging (LiDAR) based on perception system is vital for the scaling up and commercialisation of autonomous vehicle.
Normally, autonomous vehicles rely on their onboard sensors and Artificial Intelligence (AI) algorithms to detect and perceive the surrounding road environment and effect control commands to the vehicle, such as accelerating, braking and steering. However, due to the limitation of the detection range of onboard sensors and the existence of blind spots, accidents could still happen.
Automotive Platforms and Application Systems (APAS) R&D Centre was established in 2006 by the Innovation and Technology Commission of HKSAR Government and hosted by the Hong Kong Productivity Council. The Centre undertakes R&D programmes as well as commercialising R&D results in collaboration with industry, universities and technology institutes for the development of the APAS technology. Since its establishment, APAS R&D Centre has carried out over 100 R&D projects and focus on 3 R&D areas, Green Transportation, Smart Mobility and Intelligent Systems. To facilitate greater synergy and further enhance cost effectiveness, APAS is form part of the Hong Kong Productivity Council with effect from 1 Nov 2012.