The first of its kind, the FLIR thermal dataset is free for ADAS and autonomous vehicle algorithm developers. Available in July 2018, it features an initial set of more than 10,000 annotated summer driving thermal images captured at day and night. The FLIR thermal dataset enables developers to start developing and training convolutional neural networks (CNN), empowering the automotive community to create the next generation of safer and more efficient ADAS and driverless vehicle systems using cost-effective thermal cameras from FLIR.
Advanced Driver Assist Systems (ADAS) will revolutionize travel and transport while improving safety. Thermal cameras, along with other sensors, will be used to quickly detect and classify hazards in the road, increasing safety for passengers and pedestrians. As a leading OEM to Tier 1 automotive suppliers for 10+ years, FLIR has the reputation of delivering high performance, reliable night vision systems for pedestrian and animal detection. Developed with this expertise, the new FLIR ADK™ is the fastest way for developers to integrate a thermal camera into their ADAS development platform and quickly demonstrate the value thermal sensors bring to AEB and autonomous driving.
To learn more about thermal sensors and ADAS, download the FLIR ADAS Primer.