Skip to main content

Renault partners with computer vision innovator Chronocam on ADAS

Groupe Renault has entered into a strategic development agreement with Chronocam, a developer of biologically-inspired vision sensors and computer vision solutions for automotive applications. Renault plans to leverage Chronocam’s bio-inspired vision technology to extend capabilities of advanced driver assistance systems (ADAS) and autonomous driving.
November 10, 2016 Read time: 2 mins

Groupe 2453 Renault has entered into a strategic development agreement with Chronocam, a developer of biologically-inspired vision sensors and computer vision solutions for automotive applications. Renault plans to leverage Chronocam’s bio-inspired vision technology to extend capabilities of advanced driver assistance systems (ADAS) and autonomous driving.

Chronocam’s proprietary approach to computer vision leverages the company’s expertise in neuromorphic vision sensing, which mimics the human eye, and processing, which mimics the human brain. Because of the efficiencies it realises through its data capture techniques, the technology can expand conventional vision methods and contribute to better adoption and effectiveness in the automotive market.

The Chronocam technology innovation translates into specific benefits for ADAS and autonomous driving applications, including: Quicker detection of people and obstacles; Enhanced robustness of the camera to adapt and detect environmental and contextual conditions; and lower overall cost of implementation, making ADAS feature more accessible to more vehicles and market, thus improving safety in a broader way.

The two companies will work together to apply Chronocam’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.

Related Content

  • May 11, 2020
    AVs and poor weather – a bad mix
    The US DoT has produced a report on how adverse weather and road conditions will affect automated vehicles – it found inconsistency between different cars with these features which are already on highways and suggests limitations are not yet understood
  • December 21, 2015
    Measuring alertness to avert drowsy driver incidents
    Falling asleep at the wheel is the primary cause in thousands of deaths on American and other roads, with truck drivers the most at-risk group. David Crawford investigates measures to counter drowsy driving.
  • March 21, 2014
    TRL answer key questions on urban traffic control
    PC-based urban traffic control (UTC) continues to grow. Gavin Jackman, Head of Traffic and Software at TRL, looks forward. 1. PC-based urban traffic control is now very well established throughout the world. What have been the most significant developments or new features that have become available over the last two years? That’s a really interesting question because, from a software perspective, a few things are noticeable. Firstly, there are more players on the market – TRL’s Transyt Online, Imtech’s Imf
  • March 19, 2014
    New opportunities in a data-rich future
    Jason Barnes looks at where the detection and monitoring sector is heading. In the future, there will be no such thing as an un-instrumented road. Just a short time ago, that could have been a quote from a high-level policy document but with the first arrivals of vehicles with 802.11p connectivity – the door-opener to Vehicle-to-X (V2X) applications – it’s a statement which has increasing validity. The technology which uses our roads will also provide information on road conditions but V2X isn’t the only