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  2. 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 .

  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. Qualcomm, Google team up on AI for cars — here's what it ...

    www.aol.com/finance/qualcomm-google-team-ai-cars...

    More interesting is an example of a car in the future using autonomous driving technology. In the case provided by Qualcomm, the car senses that there is no parking at the destination of your trip.

  5. aiMotive - Wikipedia

    en.wikipedia.org/wiki/AiMotive

    aiMotive is developing three branches of technology connected to autonomous vehicles. aiDrive is a software stack for automated driving. aiSim is a virtual simulation environment, and aiWare, a silicon IP for chips that compute artificial intelligence. [29] [34] aiDrive utilizes artificial intelligence and data from cameras and other sensors.

  6. The State of Autonomous Vehicle Development - AOL

    www.aol.com/state-autonomous-vehicle-development...

    For premium support please call: 800-290-4726 more ways to reach us

  7. 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.

  8. Mobility tech deal value was up 13.9% quarter over quarter ...

    www.aol.com/finance/mobility-tech-deal-value-13...

    But autonomous driving ruled the day in mobility tech in Q2 2024, in which some big-name deals got done by big-name investors. Nvidia particularly has been involved in a number of high-profile ...

  9. Advanced driver-assistance system - Wikipedia

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

    With the technology embedded in autonomous vehicles, these self-driving cars are able to distribute data if a car crash occurs. This, in turn, will invigorate the claims administration and their operations. Fraud reduction will also disable any fraudulent staging of car crashes by recording the car's monitoring of every minute on the road. [73]