Dataset Enables Researchers and Developers to Accelerate Testing of Thermal Sensors on Self-Driving Systems
WILSONVILLE, Ore. – FLIR Systems, Inc. today announced the availability of its open-source machine learning thermal dataset for Advanced Driver Assistance Systems (ADAS) and self-driving vehicle researchers, developers, and auto manufacturers, featuring a compilation of more than 10,000 annotated thermal images of day and nighttime scenarios.
The first of its kind to include annotations for cars, other vehicles, people, bicycles, and dogs, the starter thermal dataset enables developers to begin testing and evolving convolutional neural networks (CNN) with the FLIR Automotive Development Kit (ADK™). The dataset empowers the automotive community to quickly evaluate thermal sensors on next-generation algorithms. When combined with visible light cameras, LiDAR, and radar, thermal sensor data paired with machine learning, helps create a more comprehensive and redundant system for identifying and classifying roadway objects, especially pedestrians and other living things.
With over a decade of experience in the automotive industry, FLIR has more than 500,000 automotive-qualified FLIR thermal sensors in driver warning systems from automakers such as General Motors, Volkswagen, Audi, BMW, and Mercedes-Benz. FLIR thermal cameras have proven reliable in the classification of pedestrians, bicycles, and vehicles in challenging lighting conditions including total darkness, fog, smoke, shadows, inclement weather, and sun glare at nearly four times the distance of typical headlights.
“This free, open-source dataset is a subset of what FLIR has to offer, and it provides a critical opportunity for the automotive community to expand the dataset to make ADAS and self-driving cars more capable in various conditions,” said Frank Pennisi, President of the Industrial Business at FLIR. “Furthermore, recent high-profile autonomous-driving related accidents show a clear need for affordable, intelligent thermal sensors. With the potential for millions of autonomous-enabled vehicles, FLIR thermal sensor costs will decrease significantly, which will encourage wide-scale adoption and ultimately enable safer autonomous vehicles.”
The dataset will be available in July 2018. Register to receive information about the dataset at www.flir.com/adasdataset.
About FLIR Systems, Inc.
Founded in 1978 and headquartered in Wilsonville, Oregon, FLIR Systems is a world-leading maker of sensor systems that enhance perception and heighten awareness, helping to save lives, improve productivity, and protect the environment. Through its nearly 3,500 employees, FLIR’s vision is to be “The World’s Sixth Sense” by leveraging thermal imaging and adjacent technologies to provide innovative, intelligent solutions for security and surveillance, environmental and condition monitoring, outdoor recreation, machine vision, navigation, and advanced threat detection. For more information, please visit www.flir.com and follow @flir.
The statements of opinion in this release that are not historical facts are forward-looking statements within the meaning of the Private Securities Litigation Reform Act of 1995. Such statements are based on current expectations, estimates, and projections about FLIR's business based, in part, on assumptions made by management. These statements are not guarantees of future performance and involve risks and uncertainties that are difficult to predict. Therefore, actual outcomes and results may differ materially from what is expressed or forecasted in such forward-looking statements due to numerous factors, including risks and uncertainties discussed from time to time in FLIR's Securities and Exchange Commission filings and reports. Such forward-looking statements speak only as of the date on which they are made and FLIR does not undertake any obligation to update any forward-looking statement to reflect events or circumstances after the date of this release, or for changes made to this document by wire services or Internet service providers.
SOURCE: FLIR Systems, Inc.