Carlos Ghosn, Renault CEO and Chairman, announced at a recent web summit that the company has entered into a strategic development agreement with Chronocam SA, a developer of biologically-inspired vision sensors and computer vision solutions for automotive applications. The French company is actively co-innovating with startups for quick development of technologies, and this agreement will help to further develop and apply Chronocam’s innovative approach to sensing and processing visual inputs to Renault’s Advanced Driver Assistance Systems (ADAS) and autonomous driving developments.
Previously Renault has already invested in Chronocam’s Series B round of funding, that helped the company to raise $15 million for the Paris-based company and that includes a group of other venture capital funds like: Intel Capital, Robert Bosch Venture Capital, iBionext, 360 Capital and CEA investissement.
According to Gaspar Gascon, Executive Vice President, Product Engineering, Groupe Renault, with the ambition to become one of the first brands to offer “eyes-off/hands-off” technology on mainstream vehicles at affordable price, Renault is pleased to work with Chronocam on an innovative computer vision technology in order to bring to Renault customers safer and more affordable ADAS and progressively autonomous driving systems.
Paris based start-up Chronocam technology innovation converts into some advantages for ADAS and autonomous driving applications, that includes: Quicker detection of people and obstacles, increased robustness of the camera which will help to adapt and detect environmental and contextual conditions better, lower overall cost of implementation, making ADAS feature more accessible to more vehicles and market, thus improving safety in a broader way.
Renault and Chronocam both will work together to apply the later’s technology to areas such as collision avoidance, driver assistance, pedestrian protection, blind spot detection and other critical functions to improve safety and efficiency in the operation of both manned and autonomous vehicles.