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ADAS are categorized into different levels based on the amount of automation, and the scale provided by The Society of Automotive Engineers (SAE). [8] ADAS can be divided into six levels. In level 0, ADAS cannot control the car and can only provide information for the driver to interpret on their own. [8]
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SuperVision uses EyeQ5 SoC data from 11 cameras. [65] [66] The system uses cameras only and is designed for hands-off cars. [67] [66] Geely's Zeekr electric vehicle is equipped with Mobileye SuperVision ADAS and began road trials in 2021. [68] [69]
Tesla Autopilot, an advanced driver-assistance system for Tesla vehicles, uses a suite of sensors and an onboard computer. It has undergone several hardware changes and versions since 2014, most notably moving to an all-camera-based system by 2023, in contrast with ADAS from other companies, which include radar and sometimes lidar sensors.
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This is part of the features collectively called ADAS. The technology is being developed by a variety of automotive suppliers to improve the safety of vehicles. It uses image processing techniques to detect the traffic signs. The detection methods can be generally divided into color based, shape based and learning based methods.
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