{"id":9214,"date":"2022-06-23T14:19:05","date_gmt":"2022-06-23T12:19:05","guid":{"rendered":"https:\/\/www.areadisviluppo.com\/flexmediaxm\/?p=9214"},"modified":"2023-06-23T15:39:16","modified_gmt":"2023-06-23T13:39:16","slug":"know-how-challenges-of-adas-testing-2","status":"publish","type":"post","link":"https:\/\/www.areadisviluppo.com\/flexmediaxm\/know-how-challenges-of-adas-testing-2\/","title":{"rendered":"Know-how: challenges of ADAS testing"},"content":{"rendered":"
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How many different technologies are incorporated into ADAS systems?<\/h2>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n
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The group of technologies known as\u00a0ADAS<\/strong>\u00a0(Advanced Driver Assistance Systems), refers to Automotive applications and uses lots of top-level sensors, controls and interfaces with highly demanding reliability requirements.<\/p>\n

ADAS systems were conceived to basically help drivers throughout their functions: most road accidents are indeed due to human errors, and indeed ADAS has proven to reduce road accidents, deaths and injuries by minimizing the possibility of impacts: that\u2019s why ADAS is so widely adopted.<\/p>\n

ADAS refers to a set of systems able to automate, adapt, and enhance vehicle technology to globally increase people, car and road safety. An example: parking sensors and cameras detecting nearby obstacles and preventing driver errors.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/section>\n

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From a\u00a0technology<\/strong>\u00a0point of view, ADAS relies on inputs from multiple data sources: cameras, sensors, LIDAR, RADAR, image processing, computer vision, in-car networking, etc.<\/p>\n

From a\u00a0functional<\/strong>\u00a0perspective, ADAS systems include:<\/p>\n