METHODS AND APPARATUS FOR CAUSING A LANE CHANGE MANEUVER OF AN AUTONOMOUS VEHICLE

    公开(公告)号:US20230311944A1

    公开(公告)日:2023-10-05

    申请号:US18096837

    申请日:2023-01-13

    申请人: PlusAI, Inc.

    IPC分类号: B60W60/00 B60W40/09 B60W50/14

    摘要: In one or more embodiments, a method comprises receiving, at a processor, an input signal from an input device in response to a first actuation of the input device by a driver of an autonomous vehicle. The input device is a device disposed with the autonomous vehicle and has a second actuation of the input device associated with a standard operation of the input device. The second actuation has an actuation pattern different from an actuation pattern of the first actuation. In response to the input signal, a determination is made by the processor to determine whether the autonomous vehicle can perform a maneuver safely. In response to determining that the autonomous vehicle can perform the maneuver safely, a signal is sent by the processor to cause the autonomous vehicle to perform the maneuver.

    SYSTEM AND METHOD FOR COLLABORATIVE SENSOR CALIBRATION

    公开(公告)号:US20230213939A1

    公开(公告)日:2023-07-06

    申请号:US18122070

    申请日:2023-03-15

    申请人: PlusAI, Inc.

    发明人: Ankur AGARWAL

    IPC分类号: G06T7/80 G06T7/70 B60W60/00

    摘要: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

    System and method for collaborative sensor calibration

    公开(公告)号:US11635762B2

    公开(公告)日:2023-04-25

    申请号:US17851814

    申请日:2022-06-28

    申请人: PlusAI, Inc.

    发明人: Ankur Agarwal

    IPC分类号: G05D1/00 G05D1/02

    摘要: The present teaching relates to method, system, medium, and implementations for sensor calibration. An ego vehicle determines whether a sensor deployed on the ego vehicle to facilitate autonomous driving of the ego vehicle needs to be calibrated and sends, if it is determined that the sensor needs to be calibrated, a request for assistance in collaborative calibration of the sensor, with a first position of the ego vehicle or a first configuration of the sensor with respect to the ego vehicle. When a response of the request is received, an assisting vehicle is indicated to travel to be near the ego vehicle to facilitate the calibration of the sensor by collaborating with the moving ego vehicle and the ego vehicle coordinates with the assisting vehicle to enable the sensor to acquire information of a target present on the assisting vehicle for the collaborative calibration of the sensor.

    Adaptive automatic preventative braking (APB) distance

    公开(公告)号:US11634133B1

    公开(公告)日:2023-04-25

    申请号:US17844670

    申请日:2022-06-20

    申请人: PlusAI, Inc.

    IPC分类号: B60W30/16 B60W60/00

    摘要: Methods, systems, and non-transitory computer-readable media are configured to perform operations comprising determining a lead obstacle in front of an ego vehicle; determining an optimizable function associated with an optimized preferred following distance between the ego vehicle and the lead obstacle; and generating the optimized preferred following distance based on the optimizable function.

    Vehicle placement on aerial views for vehicle control

    公开(公告)号:US11628859B1

    公开(公告)日:2023-04-18

    申请号:US17877735

    申请日:2022-07-29

    申请人: PlusAI, Inc.

    发明人: Mianwei Zhou

    摘要: This application is directed to aerial view generation for vehicle control. A vehicle obtains a forward-facing view of a road captured by a front-facing camera of a vehicle and applies a machine learning model to process the forward-facing view to predict determine a trajectory of the vehicle and a road layout based on a Frenet-Serret coordinate system of the road for the vehicle. The trajectory of the vehicle is combined with the road layout to predict an aerial view of the road, and the aerial view of the road is used to at least partially autonomously drive the vehicle. In some embodiments, the machine learning model is applied to process the forward-facing view to determine a first location of an obstacle vehicle in the Frenet-Serret coordinate system. The obstacle vehicle is placed on the aerial map based on the first location of the obstacle vehicle.

    Multi-mode visual geometry localization

    公开(公告)号:US11624616B1

    公开(公告)日:2023-04-11

    申请号:US17844655

    申请日:2022-06-20

    申请人: PlusAI, Inc.

    IPC分类号: G01C21/30 G06T7/70 G06V20/56

    摘要: Systems, methods, and non-transitory computer readable media can perform operations comprising generating a first type of pose and a second type of pose based on visual geometry localization; determining a mode for planning a planning path for a vehicle based on at least one of the first type of pose and the second type of pose; and generating the planning path for the vehicle based on the mode.