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."

For more information on companies in this article

Related Content

  • See ANPR with Adaptive Recognition
    March 7, 2022
    Adaptive Recognition, formerly known as ARH, is best known as the innovator behind the globally recognised Carmen ANPR software. The company will be in Amsterdam to demonstrate its expertise and solutions. As Adaptive Recognition points out, because of its long-term partnerships with traffic monitoring solution providers worldwide, it closely follows the evolution of this market and gets direct feedback from system integrators working in the field.
    Read More
  • BitFlow frame grabbers support AMD and NVIDIA GPUs
    January 15, 2016
    US-based machine vision supplier BitFlow said it is the first frame grabber manufacturer to support workstation graphics processor units (GPU) from both NVIDIA and Advanced Micro Devices (AMD). New software co-developed by BitFlow and the two GPU makers enables the integration of the GPUs with the BitFlow buffer interface API (BufIn) and the processing power of NVIDIA and AMD.
    Read More
  • Flir adds e-zoom to thermal imaging cameras
    April 8, 2014
    Flir has enhanced its F-series and PT-series security cameras with a user-friendly web interface, an enhanced level of security with three login levels, and continuous e-zoom functionality. E-zoom has been added to all 640x480 versions of the F-series and PT-series cameras, eliminating fixed intervals while using the zoom function. The e-zoom appears as a smooth and continuous image throughout the zoom range and users can stop the zoom position. Other new features include a web interface with a liv
    Read More
  • Bristol’s buses trial CycleEye detection system
    July 7, 2017
    Fusion Processing’s Jim Hutchinson looks at a two-year trial of the company’s cyclist detection system. Is cycling in a city dangerous? Well, that depends where you are and how you view statistics. Malmö is far more bike-friendly than Mumbai and the risk can either be perceived as small - one death per 29 million miles cycled in the UK in 2013 - or large - that equated to 109 deaths in the same year. Whatever your personal take on the data, the effect of these accidents can be felt indirectly too. News of c
    Read More

Highlighted Content