Videantis partners with Adasens on sensing technology for self-driving vehicles

Adasens has entered a partnership to provide its portfolio of computer vision functions to Videantis in a project that aims to bring advanced sensing technologies to self-driving vehicles and automotive advanced driver assistance systems applications. Videantis will also offer its low-power, high-performance embedded vision processor to the agreement.
December 7, 2017 Read time: 1 min
Adasens has entered a partnership to provide its portfolio of computer vision functions to Videantis in a project that aims to bring advanced sensing technologies to self-driving vehicles and automotive advanced driver assistance systems applications. Videantis will also offer its low-power, high-performance embedded vision processor to the agreement.

Videantis' processor architecture is said to carry out fast machine vision and image processing tasks at low power levels, which enable the technology to be embedded into smaller electronic control units and tiny cameras.

Marco Jacobs, VP Marketing at videantis, said, “We’ve been working together with Adasens already for some time. Intelligent automotive cameras that include our vision processors have already hit the market and mass production will start in 2019. Key OEMs and Tier 1s have chosen Ficosa and Adasens as the suppliers of the cameras and computer vision functions, respectively, for their next-generation vehicles, and we’re proud to be working with them.”
Location Based Systems

Related Content

  • June 7, 2012
    Camera technology a flexible and cost-effective option
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti
    Read More
  • December 12, 2013
    One eye on the future
    Mobileye’s Itay Gat discusses the evolution of monocular solutions for assisted and autonomous driving with Jason Barnes. Founded in 1999, Israeli company Mobileye manufactures and supplies advanced driver assistance systems (ADAS) based on its EyeQ family of systems-on-chips for image processing for solutions such as lane sensing, traffic sign recognition, vehicle and pedestrian detection. Its products are used by both the OEM and aftermarket sectors. The company’s visual interpretation algorithms drive
    Read More
  • August 20, 2019
    Aptiv: we need overhaul of AV nervous system
    Autonomous vehicles are changing a lot of things: Aptiv’s Christian Schäfer suggests that we need to look again at traditional approaches to vehicle architecture to find viable options for the future
    Read More
  • December 15, 2016
    Self-learning AI poised to disrupt automotive industry
    Self-learning artificial intelligence (AI) in cars is the key to unlocking the capabilities of autonomous cars and enhancing value to end users through virtual assistance, according to Frost & Sullivan. It offers original equipment manufacturers (OEMs) fresh revenue streams through licensing, partnerships and new mobility services. Simultaneously, the use-case scenarios of self-learning AI in cars are drawing several technology companies, Internet of Things (IoT) companies and mobility service providers to
    Read More

Highlighted Content