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  2. Tesla Autopilot hardware - Wikipedia

    en.wikipedia.org/wiki/Tesla_Autopilot_hardware

    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.

  3. Luminar Technologies - Wikipedia

    en.wikipedia.org/wiki/Luminar_Technologies

    Luminar Technologies Inc. is an American technology company that develops vision-based lidar and machine perception technologies, primarily for self-driving cars.The company's headquarters and main research and development facilities are in Orlando, Florida; a second major office is located in Palo Alto, California.

  4. Lidar - Wikipedia

    en.wikipedia.org/wiki/Lidar

    Autonomous vehicles may use lidar for obstacle detection and avoidance to navigate safely through environments. [7] [90] The introduction of lidar was a pivotal occurrence that was the key enabler behind Stanley, the first autonomous vehicle to successfully complete the DARPA Grand Challenge. [91]

  5. Austin startup Uhnder thinks big with radar tech for ... - AOL

    www.aol.com/news/austin-startup-uhnder-thinks...

    The company makes digital imaging radar tech designed to be used in autonomous vehicles and driver assistance systems. Austin startup Uhnder thinks big with radar tech for autonomous vehicles Skip ...

  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. Obstacle avoidance - Wikipedia

    en.wikipedia.org/wiki/Obstacle_avoidance

    Obstacle avoidance, in robotics, is a critical aspect of autonomous navigation and control systems. It is the capability of a robot or an autonomous system/machine to detect and circumvent obstacles in its path to reach a predefined destination. This technology plays a pivotal role in various fields, including industrial automation, self ...

  8. Avride - Wikipedia

    en.wikipedia.org/wiki/Avride

    The prototype vehicle was a heavily modified Toyota Prius+ hybrid wagon/compact MPV equipped with three Lidar optical distance sensors by Velodyne Lidar, six radar units, and six cameras and a GNSS sensor for navigation, with Intel CPUs and Nvidia GPUs [11] using the GNU operating system with the Linux kernel.

  9. Velodyne Lidar - Wikipedia

    en.wikipedia.org/wiki/Velodyne_Lidar

    In 2018, Velodyne Lidar founded and hosted the first World Safety Summit for Autonomous Vehicles held at Levi Stadium in San Jose, CA. The event, with more than 250 attendees, was an international forum to discuss the developing lidar technology and its role in public safety. [21]