Dr Gashinova explained: ‘Current experimental autonomous vehicles come laden with sensors including short and long range radar, LiDAR and mono/stereo video cameras. Although there have been some very impressive examples of autonomous or near-autonomous operation using a combination of a-priori maps and data from these sensor suites, the environments in which they operate are highly constrained and full autonomy is not achievable in the short term. True full autonomy and improved driver assistance need a sensor suite which can provide rich information to enable automatic optimisation of the vehicle for travel over any terrain in all weathers.’
The University of Birmingham, with its long standing excellence in automotive radar research and radar technologies, the University of Edinburgh and Heriot-Watt University with world class expertise in signal processing, radar imaging, video analytics, LiDAR and accelerated algorithms, will come together to carry out fundamental and applied research on novel multifunction multimodal sensing technology by combining, for the first time, high-resolution low-THz radar and video imagery for a new generation of all-weather automotive sensors intended for both driver assistance and autonomous driving.