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  2. Automatic vehicle location - Wikipedia

    en.wikipedia.org/wiki/Automatic_vehicle_location

    A.V.L (Automatic Vehicle Location) This type of vehicle tracking is normally used in the fleet or driver management sector. The unit is configured to automatically transmit its location at a set time interval, e.g. every 5 minutes. The unit is activated when the ignition is switched on/off. E.A.T.S (Events Activated Tracking system)

  3. Guidance, navigation, and control - Wikipedia

    en.wikipedia.org/wiki/Guidance,_navigation,_and...

    For example, today's most advanced navigation systems are embodied within the Anti-ballistic missile, the RIM-161 Standard Missile 3 leverages GPS, IMU and ground segment data in the boost phase and relative position data for intercept targeting. Complex systems typically have multiple redundancy to address drift, improve accuracy (ex. relative ...

  4. Automotive navigation system - Wikipedia

    en.wikipedia.org/wiki/Automotive_navigation_system

    1994: BMW 7 series E38 first European model featuring GPS navigation. The navigation system was developed in cooperation with Philips (Philips CARIN). [19] 1995: Oldsmobile introduced the first GPS navigation system available in a United States production car, called GuideStar. [20] The navigation system was developed in cooperation with Zexel.

  5. Self-driving car - Wikipedia

    en.wikipedia.org/wiki/Self-driving_car

    A self-driving car, also known as a autonomous car (AC), driverless car, robotaxi, robotic car or robo-car, [1] [2] [3] is a car that is capable of operating with reduced or no human input. [ 4 ] [ 5 ] Self-driving cars are responsible for all driving activities, such as perceiving the environment, monitoring important systems, and controlling ...

  6. 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.

  7. Vehicular communication systems - Wikipedia

    en.wikipedia.org/wiki/Vehicular_communication...

    The main motivation for vehicular communication systems is safety and eliminating the excessive cost of traffic collisions. According to the World Health Organization (WHO), road accidents annually cause approximately 1.2 million deaths worldwide; one fourth of all deaths caused by injury.

  8. Vehicular automation - Wikipedia

    en.wikipedia.org/wiki/Vehicular_automation

    A self-driving Uber car accident in 2018 is an example of autonomous vehicle accidents that are also listed among self-driving car fatalities. A report made by the National Transportation Safety Board (NTSB) showed that the self-driving Uber car was unable to identify the victim in a sufficient amount of time for the vehicle to slow down and ...

  9. Simultaneous localization and mapping - Wikipedia

    en.wikipedia.org/wiki/Simultaneous_localization...

    2005 DARPA Grand Challenge winner Stanley performed SLAM as part of its autonomous driving system. A map generated by a SLAM Robot. Simultaneous localization and mapping (SLAM) is the computational problem of constructing or updating a map of an unknown environment while simultaneously keeping track of an agent's location within it.