Flir launches thermal sensors to accelerate self-driving cars

To help advance the reliability required for self-driving cars (SDCs), Flir Systems has launched a high-resolution Thermal Vision Automotive Development Kit (ADK), enabling developers to add an affordable, long-range thermal camera to their advanced driver assistance systems. The solution is said to help drivers and future SDCs see in challenging environments such as darkness, sun glare, fog, smoke and haze. ADK features the high-resolution Flir Boson, which is equipped with an Intel Movidius Myriad 2
January 9, 2018 Read time: 2 mins

To help advance the reliability required for self-driving cars (SDCs), 6778 Flir Systems has launched a high-resolution Thermal Vision Automotive Development Kit (ADK), enabling developers to add an affordable, long-range thermal camera to their advanced driver assistance systems. The solution is said to help drivers and future SDCs see in challenging environments such as darkness, sun glare, fog, smoke and haze.

ADK features the high-resolution Flir Boson, which is equipped with an Intel Movidius Myriad 2 Vision Processing Unit, and a low-powered multi-core vision processor that fits within a compact footprint package. The kit is also compatible with the Nvidia Drive autonomous vehicle computing platform.

James Cannon, President and CEO of Flir, said: "Flir thermal imaging sensors have played a critical role in enhancing driver safety for more than a decade, and using them for advanced driver assistance systems in self-driving cars is a natural evolution. With our latest high-resolution automotive development kit, automakers can develop and integrate thermal imaging technology in self-driving cars easier, faster, and with low cost of ownership."

Related Content

  • January 6, 2023
    CES 2023: NXP chip for ADAS & AVs
    Radar one-chip family allows long-range detection/separation of small and larger objects
    Read More
  • January 11, 2013
    In-vehicle vision-based systems and autonomous vehicles
    The Artificial Vision and Intelligent Systems Laboratory (VisLab) of Italy’s Parma University has built itself a fine pedigree in basic and applied research which has developed machine vision algorithms and intelligent systems for the automotive field. In 1998, a VisLab-equipped Lancia Thema named ‘Argo’ travelled along the famous Mille Miglia race route and completed 98 per cent of it autonomously using then-current technology. In 2005, VisLab provided the vision element of the Terramax, a collaborative un
    Read More
  • January 11, 2013
    Network video alternative to machine vision in urban applications
    It would be easy to fall into the trap of seeing machine vision as the vision-based solution for ITS and traffic, however Patrik Anderson, Director Business Development Transportation of Axis Communications, notes that many of the applications which are coming to be associated with machine vision – and, indeed, many of the characteristics, such as at-the-edge analytics and image processing – are also possible with open-standard networked video. Networked video brings a whole host of advantages, such as the
    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

Highlighted Content