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  2. Mazda CX-5 - Wikipedia

    en.wikipedia.org/wiki/Mazda_CX-5

    The Mazda CX-5 is a compact crossover SUV [1] produced by Mazda since 2012. [2] A successor to both the Tribute and the slightly larger CX-7, [3] [4] it is Mazda's first model to feature the "Kodo" design language and the first model to be fully developed with a range of technologies branded as Skyactiv, including a rigid, lightweight platform combined with a series of engines and ...

  3. Adaptive cruise control - Wikipedia

    en.wikipedia.org/wiki/Adaptive_cruise_control

    Adaptive cruise control does not provide full autonomy: the system only provides some help to the driver, but does not drive the car by itself. [3] For example, the driver is able to set the cruise control to 55mph, if the car while traveling that speed catches up to another vehicle going only 45mph, the ACC will cause the car to automatically brake and maintain a safe distance behind the ...

  4. Driver drowsiness detection - Wikipedia

    en.wikipedia.org/wiki/Driver_drowsiness_detection

    Debuted on 2015 Mazda CX-5. Mercedes-Benz: Attention Assist [19] In 2009, Mercedes-Benz unveiled a system called Attention Assist which monitors the driver's fatigue level and drowsiness based on his/her driving inputs. It issues a visual and audible alarm to alert the driver if they are too drowsy to continue driving.

  5. Self-Driving Cars: Understanding the 6 Autonomous Levels - AOL

    www.aol.com/news/self-driving-cars-understanding...

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  6. Is that a self-driving car you just spotted on a Kansas City ...

    www.aol.com/self-driving-car-just-spotted...

    The Insurance Institute for Highway Safety anticipates that there will be 4.5 million self-driving vehicles on U.S. roads by 2030. Show comments. Advertisement. Advertisement.

  7. Advanced driver-assistance system - Wikipedia

    en.wikipedia.org/wiki/Advanced_driver-assistance...

    The reliance on data that describes the outside environment of the vehicle, compared to internal data, differentiates ADAS from driver-assistance systems (DAS). [8] ADAS rely on inputs from multiple data sources, including automotive imaging, LiDAR, radar, image processing, computer vision, and in-car networking.

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