Autonomous seat adjustment in a vehicle

    公开(公告)号:US11945342B2

    公开(公告)日:2024-04-02

    申请号:US17363644

    申请日:2021-06-30

    摘要: A method for adjusting a seat in a vehicle includes adjusting the seat from an initial position to a passenger adjusted position based on receiving an input from a passenger. The method further includes determining the passenger exited the vehicle after adjusting the seat and predicting a likelihood of the passenger returning to the vehicle based on determining the passenger exited the vehicle. The method also includes adjusting the seat to the initial position based on the likelihood of the passenger returning is less than a passenger returning threshold. The method still further includes identifying a person approaching the vehicle after the passenger exited the vehicle based on information captured by one or more sensors of the vehicle. The method also includes adjusting the seat to a position associated with the previous passenger based on identifying the person approaching the vehicle as the previous passenger.

    Systems and methods for training a driver about automated driving operation

    公开(公告)号:US11341866B2

    公开(公告)日:2022-05-24

    申请号:US16916436

    申请日:2020-06-30

    摘要: System, methods, and other embodiments described herein relate to improving the training of a driver during automated driving system mode. In one embodiment, a method includes generating, in association with a vehicle takeover and a maneuver by the driver, an automated motion plan associated with the maneuver. The method also includes determining if a difference parameter satisfies a threshold, wherein the difference parameter indicates a disparity between the maneuver by the driver in relation to the automated motion plan associated with the maneuver. The method also includes notifying, if the difference parameter does not satisfy the threshold, the driver that the vehicle takeover and the maneuver by the driver were unnecessary.

    AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES

    公开(公告)号:US20210031759A1

    公开(公告)日:2021-02-04

    申请号:US16527512

    申请日:2019-07-31

    摘要: Systems and methods are provided for generating trajectories for a vehicle user interface showing a driver's perspective view. Methods include generating an ego-vehicle predicted trajectory for an ego-vehicle; and generating at least one road agent predicted trajectory for a road agent that is external to the ego-vehicle. After the predicted trajectories are generated, the method continues by determining that at least one predicted trajectory overlaps either an object or another predicted trajectory, when displayed on the user interface showing a driver's perspective view. The method includes modifying the at least one road agent predicted trajectory to remove the overlap. The method then proceeds with updating a display of the user interface to include any modified road agent predicted trajectory. Systems include a trajectory-prediction module to execute the methods.

    AUTONOMOUS VEHICLE USER INTERFACE WITH PREDICTED TRAJECTORIES

    公开(公告)号:US20210031758A1

    公开(公告)日:2021-02-04

    申请号:US16527483

    申请日:2019-07-31

    摘要: Systems and methods are provided for generating trajectories for a vehicle user interface showing a driver's perspective view. Methods include generating an ego-vehicle predicted trajectory for an ego-vehicle; and generating at least one road agent predicted trajectory for a road agent that is external to the ego-vehicle. After the predicted trajectories are generated, the method continues by determining that at least one road agent predicted trajectory both (1) exists behind an object, indicating travel behind the object, and (2) overlaps with the object, when displayed on the user interface showing a driver's perspective view. The method includes modifying the at least one road agent predicted trajectory to remove the overlap. The method then proceeds with updating a display of the user interface to include any modified road agent predicted trajectory. Systems include a trajectory-prediction module to execute the methods.

    AUTONOMOUS CONTROL OF VEHICLE CARGO AREA DOORS

    公开(公告)号:US20210005032A1

    公开(公告)日:2021-01-07

    申请号:US16503732

    申请日:2019-07-05

    IPC分类号: G07C9/00 B60R21/015 B60R5/04

    摘要: A cargo area door control system for a vehicle is provided. The vehicle includes at least one cargo area and at least one cargo area door configured to be movable to enable physical access to the at least one cargo area, and movable to block physical access to the at least one cargo area. The control system includes one or more processors and a memory communicably coupled to the one or more processors. The memory stores a cargo area door control module including instructions that when executed by the one or more processors cause the one or more processors to determine if the vehicle currently resides at a selected destination and, responsive to a determination that the vehicle currently resides at the selected destination, operate a cargo area door unlocking mechanism to unlock the at least one cargo area door.

    Operation of vehicle window wipers based on perceived vehicle stops to drop off passengers

    公开(公告)号:US10766460B2

    公开(公告)日:2020-09-08

    申请号:US16188925

    申请日:2018-11-13

    IPC分类号: B60S1/08 G06T7/00 G06T7/20

    摘要: Systems, methods, and storage media for controlling wiper devices of a vehicle are disclosed. Exemplary implementations may: remove, by one or more wiper devices, fluid or debris from viewing portals; generate output signals conveying passenger sensor information related to passenger actions; generate output signals conveying vehicle sensor information related to vehicle operations; determine, based on the output signal, the passenger sensor information; determine, based on the output signal, the vehicle sensor information; assess, based on the passenger sensor information or the vehicle sensor information, readiness of a passenger to depart the vehicle via an exit; and control, based on the readiness of the passenger to depart the vehicle via the exit, the one or more wiper devices.

    Systems and methods for driver training during operation of automated vehicle systems

    公开(公告)号:US11605306B2

    公开(公告)日:2023-03-14

    申请号:US16916440

    申请日:2020-06-30

    IPC分类号: G09B9/042 G09B9/052 G09B19/16

    摘要: System, methods, and other embodiments described herein relate to a training system to train a driver about occurrences of anomalous driving events of automated vehicle systems. In one embodiment, a method includes determining, upon receiving a selection of a vehicle behavior from one or more anomalous driving events and a detected state change signal, whether the vehicle behavior affects one or more entities. The method includes assessing a state of the one or more entities to simulate the vehicle behavior according to a safety standard. The method includes triggering simulation of the vehicle behavior if the state satisfies a threshold. The method includes simulating the vehicle behavior by at least controlling the vehicle to simulate the vehicle behavior during automated driving of the vehicle.

    Autonomous vehicle user interface with predicted trajectories

    公开(公告)号:US11328593B2

    公开(公告)日:2022-05-10

    申请号:US16527495

    申请日:2019-07-31

    摘要: Systems and methods are provided for generating trajectories for a vehicle user interface showing a driver's perspective view. Methods include generating an ego-vehicle predicted trajectory for an ego-vehicle; and generating at least one road agent predicted trajectory for a road agent that is external to the ego-vehicle. After the predicted trajectories are generated, the method continues by determining that at least two predicted trajectories overlap when displayed on the user interface showing a driver's perspective view, when displayed on the user interface showing a driver's perspective view. The method includes modifying the at least one road agent predicted trajectory to remove the overlap. The method then proceeds with updating a display of the user interface to include any modified road agent predicted trajectory. Systems include a trajectory-prediction module to execute the methods.