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  2. Indy Autonomous Challenge - Wikipedia

    en.wikipedia.org/wiki/Indy_Autonomous_Challenge

    As a successor of the DARPA Grand Challenge, [9] the IAC aimed to provide a challenging environment for the development of autonomous vehicles. University teams were invited to develop software [10] for solving the autonomous driving task, in the challenging environment of a racetrack, constrained by IAC rules through 2024 that limit only one or two cars to be on the race track at a time, [1 ...

  3. Real-time path planning - Wikipedia

    en.wikipedia.org/wiki/Real-time_path_planning

    Real-Time Path Planning is a term used in robotics that consists of motion planning methods that can adapt to real time changes in the environment. This includes everything from primitive algorithms that stop a robot when it approaches an obstacle to more complex algorithms that continuously takes in information from the surroundings and creates a plan to avoid obstacles.

  4. Chris Urmson - Wikipedia

    en.wikipedia.org/wiki/Chris_Urmson

    Chris Urmson is a Canadian engineer, academic, and entrepreneur known for his work on self-driving car technology. He cofounded Aurora Innovation, a company developing self-driving technology, in 2017 and serves as its CEO. [1] Urmson was instrumental in pioneering and advancing the development of self-driving vehicles since the early 2000s. [2]

  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. Motion planning - Wikipedia

    en.wikipedia.org/wiki/Motion_planning

    A basic motion planning problem is to compute a continuous path that connects a start configuration S and a goal configuration G, while avoiding collision with known obstacles. The robot and obstacle geometry is described in a 2D or 3D workspace , while the motion is represented as a path in (possibly higher-dimensional) configuration space .

  7. Tesla gains on report Trump's team planning federal self ...

    www.aol.com/tesla-gains-report-trumps-team...

    By Akash Sriram (Reuters) -Tesla shares rose more than 5% on Monday after Bloomberg News reported that President-elect Donald Trump's transition team was planning to set up federal regulations for ...

  8. Autonomous racing - Wikipedia

    en.wikipedia.org/wiki/Autonomous_racing

    Autonomous racing, self-driving racing or autonomous motorsports is an evolving sport of racing ground-based wheeled vehicles, controlled by computer. A number of events and series have launched, including the international Formula E spin-off series Roborace. [1] and Self Racing Cars [2] [3] as well as student competitions such as Formula ...

  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.