FLIR Systems and Ansys deliver thermal camera machine learning
FLIR Systems, Inc. and Ansys partnered to deliver hazard detection capabilities for assisted driving and autonomous vehicles (AVs). Through this partnership, FLIR will integrate a fully physics-based thermal sensor into Ansys’ driving simulator to model, test, and validate thermal camera designs within an ultra-realistic virtual world. According to the company, the new solution aims to reduce original equipment manufacturers’ (OEM) development time by optimizing thermal camera placement for use with tools such as automatic emergency braking (AEB), pedestrian detection, and within future AVs. Having the ability to test in virtual environments complements the existing systems available to FLIR customers and partners, including the FLIR automotive development kit (ADK) featuring a FLIR Boson thermal camera, the FLIR starter thermal dataset, and the regional, city-specific thermal datasets.
The FLIR thermal dataset programs were created for machine learning in advanced driver assistance development (ADAS), AEB, and AV systems. According to FLIR, the current AV and ADAS sensors face challenges in darkness or shadows, sun glare, and inclement weather such as most fog. Thermal cameras, however, can effectively detect and classify objects in these conditions. Integrating FLIR’s thermal sensor into Ansys VRXPERIENCE, enables simulation of thousands of driving scenarios across millions of miles in mere days. Furthermore, engineers can simulate difficult-to-produce scenarios where thermal provides critical data, including detecting pedestrians in crowded, low-contrast environments.
“By adding Ansys’ industry-leading simulation solutions to the existing suite of tools for physical testing, engineers, automakers, and automotive suppliers can improve the safety of vehicles in all types of driving conditions,” said Frank Pennisi, President of the Industrial Business Unitat FLIR Systems. “The industry can also recreate uncommon corner cases that are exceedingly difficult to replicate in physical environments, paving the way for improved neural networks and the performance of safety features such as AEB.”
“FLIR Systems recognizes the limitations of relying solely on gathering machine learning datasets in the physical world to make automotive thermal cameras as safe and reliable as possible for automotive uses,” said Eric Bantegnie, Vice President and General Manager at Ansys. “Now with Ansys solutions, FLIR can further empower automakers to speed the creation and certification of assisted-driving systems with thermal cameras.”
Flir says it has provided more than 700,000 thermal sensors as part of its night vision warning systems for a variety of carmakers, including GM, Audi, and Mercedes-Benz. Also, FLIR recently announced that its thermal sensor has been selected by Veoneer, a Tier 1 automotive supplier, for its level-four AV production contract with a top global automaker, planned for 2021.
For more information, visit www.flir.com.