Robotic vehicle navigaton system and method

    公开(公告)号:US11720122B1

    公开(公告)日:2023-08-08

    申请号:US18050283

    申请日:2022-10-27

    CPC classification number: G05D1/0289 G05D1/0214 G05D2201/0216

    Abstract: System is configured to receive article information corresponding to articles to be transported by computer-controlled vehicles, the articles comprising a first article and a second article, each having a maximum article dimension. System is also configured to assign travel routes about a grid comprising grid cells for the vehicles to travel thereon. The travel route of a first vehicle carrying the first article includes a turning maneuver at a first grid cell. System is configured to control the turning maneuver of the first vehicle in the first grid cell such that there is no contact between the first article carried on the first vehicle with a second article carried on a second vehicle present in a second grid cell that is adjacent to the first grid cell when the first vehicle is undertaking the turning maneuver.

    METHOD FOR MAPPING, MAPPING DEVICE, COMPUTER PROGRAM, COMPUTER READABLE MEDIUM, AND VEHICLE

    公开(公告)号:US20230243666A1

    公开(公告)日:2023-08-03

    申请号:US18002965

    申请日:2020-06-30

    Applicant: Simon GEIGER

    Inventor: Simon GEIGER

    Abstract: When an autonomous vehicle plans a new drive mission in a confined area, a first set of environmental information, and after a time interval, a second set of environmental information, are obtained by a device flying above a confined area including the departure point and the destination point of the vehicle, each set of environmental information including locations and geometries of objects in the confined area. Then, an object that is present at the same location in the first set of environmental information and in the second set of environmental information is classified as a semi-static object, and an object that is present at different locations in the first set of environmental information and in the second set of environmental information is classified as a dynamic object. A map including location and geometry of each object classified as a semi-static object is then created.

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