Mr. Jeffrey Coote Profile

Jeffrey Coote

at Veoneer Inc

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Proceedings Article | 14 May 2019 Open Access

Role of infrared sensing in autonomous driving (Conference Presentation)

Jeffrey Coote

Proceedings Volume 11002, 110021E (2019) https://doi.org/10.1117/12.2518845

KEYWORDS: Cameras, Infrared detection, Night vision systems, Night vision, Signal processing, Reliability, Software development, Safety, Far infrared, Unmanned vehicles

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Veoneer is the world’s largest pure-play company focused on Advanced Driving Assistance Systems and Automated Driving. Veoneer designs, compiles and sells state-of-the-art software, hardware and systems that make driving safer, and provides the key technologies like night vision, that drive the reliability, adoption, and success of self-driving mobility solutions. Veoneer is the single largest supplier of thermal night vision systems in the automotive marketplace. Veoneer develops and supplies both the hardware and software for a complete night vision system. As the leader, Veoneer continues to innovate smaller cameras with increased resolution, while adding critical safety features such as pedestrian detection, animal detection and automatic emergency braking. Far infrared cameras are rapidly expanding into the autonomous vehicle space by providing an essential added modality for sensing objects in complex driving situations. In this keynote, Mr. Stuart Klapper will discuss where automotive infrared systems are headed in the future. Next generation night vision cameras are anticipated to be at least 50 percent smaller with VGA resolution. Some concepts include wider field of view cameras and implementation of multiple cameras for 360-degree coverage surrounding the vehicle. The electronic control units used to process the signal from the camera may be shared with other sensors on the vehicle to enable lower cost applications. Night vision technology is viewed as unique for handling complex situations where other technologies like LiDAR, radar and vision cameras may have limitations.

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