Calyo, Benedex Robotics, and Cranfield University have come together to enhance the safety of autonomous vehicles.
As part of the DRIVEN BY SOUND initiative led by Calyo, they will collaborate to create a reliable safety sensing platform using 3D ultrasound technology that can function effectively in even the most difficult environmental conditions.
This innovative technology enables self-driving vehicles to have real-time 3D awareness of their surroundings, adding an extra layer of safety and reliability to existing sensing and safety detection systems.
Tier 1 companies, automotive manufacturers, and start-up mobility ventures will have access to the platform as a dependable safety module. It acts as a vital backup system, allowing vehicles to execute minimum risk maneuvers (MRMs) and come to a safe stop in case of a malfunction or adverse road conditions.
“Our partnership is delivering a robust, redundant sensing platform based on 3D ultrasound for automotive Advanced Driver Assistance Systems (ADAS) and autonomous driving. The technology will be applicable across vehicle platforms, including off-road industrial applications,” said Mihai Caleap, CEO of Calyo.
Snir Benedek, CEO of Benedex Robotics, added: “By integrating this additional layer of functional safety, we are introducing innovation, which is transformative in the industry while cost-effective and easy to implement, establishing the foundation for accessible, safe, and secure autonomous mobility.”
The partnership brings together Calyo’s 3D ultrasound sensor technology, known as Calyo PulseTM, Benedex’s proficiency in safety platforms, and Cranfield University’s expertise in integrating and testing self-driving vehicles. The final product will offer a crucial backup system to heighten safety in autonomous vehicles.
Marco Cecotti, Lecturer in Driving Automation at Cranfield University, said: “Safety has to be top of the agenda for autonomous vehicle development, and this exciting project will inform a robust solution to deal with extreme environmental conditions, one of the biggest technical challenges to the widespread availability of self-driving vehicles.”
The vehicle prototype with this technology is anticipated to be demonstrated at Cranfield University’s MUEAVI proving ground in the first half of 2025, marking the completion of the project.
