A new UK project is promising to allow Autonomous Vehicles to perceive obstacles with “pin-point accuracy” around blind corners, “pushing autonomous vehicle sensing well beyond what CAVs can perceive using on-board sensors, today”, reports Smart Highways.
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.
CORAM lead Propelmee, is an Autonomous Vehicle Technology company that is developing an Operating System to enable full autonomy for self-driving cars. CORAM brings together CAV expertise, state of the art CAV testing facilities and the CAV assets of two eminent partners; the Transport Systems Catapult and Cranfield University.
Research by the CORAM consortium will pave the way for infrastructure-based connectivity to enable safer on-road autonomy, culminating in a technology demonstration at Cranfield University’s state-of-the-art Multi-User Environment for Autonomous Vehicle Innovation (MUEAVI) research facility utilising Transport System Catapult’s autonomous pods.
For the full report, see the full story in Smart Highways HERE.