Collaborative perception for autonomous vehicles

    公开(公告)号:US11514790B2

    公开(公告)日:2022-11-29

    申请号:US16830548

    申请日:2020-03-26

    摘要: Collaborative perception is based on recognition that a fleet of AVs and stationary infrastructure objects equipped with sensors may be configured to communicate with one another in sharing their sensor data, thus benefiting from collaborative perception, rather than being limited to their individual perception. Three specific scenarios of collaborative perception are disclosed. The first scenario relates to two AVs in the vicinity of one another exchanging complexity scores indicative of their respective environments. The second scenario relates to an AV detecting that it has a blind spot and seeking other AVs or infrastructure objects to provide information indicative of the environment in the blind spot. The third scenario relates to providing infrastructure objects equipped with sensors in appropriate locations so that, when an AV is in the vicinity of such objects, the AV may receive information from their sensors.

    COLLABORATIVE PERCEPTION FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20210304607A1

    公开(公告)日:2021-09-30

    申请号:US16830548

    申请日:2020-03-26

    IPC分类号: G08G1/16 G08G1/01 H04W4/46

    摘要: Collaborative perception is based on recognition that a fleet of AVs and stationary infrastructure objects equipped with sensors may be configured to communicate with one another in sharing their sensor data, thus benefiting from collaborative perception, rather than being limited to their individual perception. Three specific scenarios of collaborative perception are disclosed. The first scenario relates to two AVs in the vicinity of one another exchanging complexity scores indicative of their respective environments. The second scenario relates to an AV detecting that it has a blind spot and seeking other AVs or infrastructure objects to provide information indicative of the environment in the blind spot. The third scenario relates to providing infrastructure objects equipped with sensors in appropriate locations so that, when an AV is in the vicinity of such objects, the AV may receive information from their sensors.

    Coordinated multi-vehicle routing

    公开(公告)号:US11869361B2

    公开(公告)日:2024-01-09

    申请号:US17220138

    申请日:2021-04-01

    IPC分类号: G08G1/00 G08G1/0968

    摘要: The disclosed technology provides solutions for improving the operational efficiency and safety of autonomous vehicles (AVs). In some implementations, the disclosed technology encompasses methods for performing vehicle clustering or platooning, for example, that can include steps for computing navigation routes for each of a plurality of autonomous vehicles (AVs), identifying a route overlap for a first AV and a second AV selected from among the plurality of AVs, and transmitting a clustering instruction to the first AV and the second AV based on the route overlap, wherein the clustering instruction is configured to cause the first AV and the second AV to initiate a clustering configuration. Systems and machine-readable media are also provided.

    MODIFICATION OF THE PLANNED PATH OF AN AUTONOMOUS VEHICLE TO CONVERGE TO THE ACTUAL POSITION

    公开(公告)号:US20240109558A1

    公开(公告)日:2024-04-04

    申请号:US17950881

    申请日:2022-09-22

    IPC分类号: B60W60/00

    CPC分类号: B60W60/0015 B60W30/02

    摘要: Systems and techniques are provided for adjusting the planned path of an autonomous vehicle to converge with the actual path. An example method can include determining a first pose error associated with a first pose component from one or more pose components, wherein the first pose error is based on a first difference between an actual pose of an autonomous vehicle and a planned pose of the autonomous vehicle; determining that the first pose error associated with the first pose component exceeds a pose error threshold corresponding to the first pose component; and generating a new planned pose of the autonomous vehicle that yields a reduced first pose error associated with the first pose component, wherein the reduced first pose error is based on a second difference between the actual pose of the autonomous vehicle and the new planned pose of the autonomous vehicle.