AVs to see around blind corners
A new project will allow autonomous vehicles to accurately perceive obstacles around blind corners, pushing autonomous vehicle sensing beyond what connected and autonomous vehicles (CAVs) can perceive using on-board sensors.
Project CORAM (Connected On-Road Autonomous Mobility) will undertake a feasibility study as part of CCAV3 funding competition sponsored by Innovate UK and the Centre for Connected & Autonomous Vehicles (CCAV). CORAM will research how ‘Look-Ahead’ and ‘Non-Line-of Sight’ (NLOS) perception can be delivered to any connected and autonomous vehicle (CAV) from infrastructure deployed sensors. CORAM will leverage connectivity to deliver NLOS and Look-Ahead perception using low-latency over-the-air messaging to autonomous vehicles.
Zain Khawaja, founder and CEO of CORAM lead Propelmee, said, ‘Connectivity has a key role to play in autonomy, and infrastructure sensing has the potential to greatly aid and enable full autonomy, especially when on-vehicle sensing struggles to accurately perceive the world or 3D maps are broken. Infrastructure can assist autonomy in urban city centres where there is a large density of pedestrians, buses, taxis, cyclists and complex and unpredictable driving scenarios often arise. CORAM consortium will take the first steps in developing a proof of concept of such a system and will help establish the groundwork for the UK to become a world-leader in connected infrastructure for fully autonomous mobility.’
Transport Systems Catapult CEO, Paul Campion, added, ‘The competition to develop Connected and Autonomous Vehicles is accelerating and as a centre of excellence in transport research, we see this project as making a significant contribution to ensuring that UK is at the forefront of this revolution in mobility.’