TU-TESL

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According to foreign media reports, FLIR system is cooperating with ANSYS to provide excellent risk detection capabilities for auxiliary driving and automobile, and help automobile manufacturers improve vehicle safety. Through this cooperation, FLIR will integrate physical based thermal sensors into ANSYS's cutting-edge driving simulator to model, test and verify the thermal camera design in a highly realistic virtual world. The new solution will optimize the thermal camera to work with tools such as automatic emergency braking (AEB) and pedestrian detection to help OEMs reduce development time. This ability to test in a virtual environment complements FLIR's existing systems, including the FLIR automotive development kit (ADK?). The tool covers FLIR boson? Thermal cameras, FLIR starter thermal data sets and area, city specific thermal data sets. The FLIR thermal data set program is specially built for machine learning in ADAS, AEB and autopilot vehicle systems. At present, self driving cars and ADAS sensors face many challenges, such as darkness, shadow, sunlight and bad weather, such as heavy fog. Under these conditions, the thermal camera can effectively detect and classify objects. Integrating FLIR's thermal sensor into ANSYS? Vrxperience? Can simulate thousands of driving scenarios in just a few days. In addition, engineers can simulate complex scenarios. In these scenarios, thermal imaging provides key data, including pedestrian detection in crowded, low contrast environments. Frank Pennisi, President of FLIR system business unit, said, "integrating ANSYS's simulation solution into the existing physical test tool suite can help engineers, automobile manufacturers and automobile suppliers improve the safety of vehicles under various driving conditions. In addition, it can reproduce rare scenes that are very difficult to replicate in the physical environment, which helps to improve the performance of security functions such as neural network and AEB. " Eric bantegnie, vice president and general manager of ANSYS, said, "FLIR recognizes that only collecting machine learning data sets in the physical world can not fully guarantee the safety and reliability of car thermal cameras. With the solution of ANSYS, FLIR can provide more support for automobile manufacturers, accelerate the development and certification of auxiliary driving system equipped with hot cameras. "