EXPERT MODE FOR VEHICLES
    1.
    发明申请

    公开(公告)号:US20170192426A1

    公开(公告)日:2017-07-06

    申请号:US15398454

    申请日:2017-01-04

    发明人: Ian Rust

    IPC分类号: G05D1/00

    摘要: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method for controlling an autonomous vehicle comprises determining that assistance is required for continued movement of the autonomous vehicle; and facilitating movement of the autonomous vehicle via implementation, by a processor onboard the autonomous vehicle, of manual instructions provided from a remote user that is remote from the autonomous vehicle.

    Vehicle remote assistance mode
    4.
    发明授权

    公开(公告)号:US10514697B2

    公开(公告)日:2019-12-24

    申请号:US15706113

    申请日:2017-09-15

    摘要: Systems and method are provided for controlling a vehicle. In one embodiment, a method includes calculating, via a router of a vehicle system that accesses road map data, at least one route to a destination based on the road map data, thereby producing route solution data. The vehicle system enters a remote assistance mode in response to remote assistance decision data received from a blockage arbiter of the vehicle system. In the remote assistance mode, the method includes determining, via the router, at least one road segment of the road map data that is permitted to be blacklisted, thereby producing permitted blacklist data. The method includes transmitting the permitted blacklist data and the route solution data, via a vehicle communications module of the vehicle system, to a remote vehicle assistance system. The method includes updating, via the router, the road map data to exclude at least one blacklisted road segment defined by the permitted blacklist data.

    Expert mode for vehicles
    6.
    发明授权

    公开(公告)号:US10322717B2

    公开(公告)日:2019-06-18

    申请号:US15398454

    申请日:2017-01-04

    发明人: Ian Rust

    IPC分类号: B60W30/00 G05D1/00 G08G1/00

    摘要: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method for controlling an autonomous vehicle comprises determining that assistance is required for continued movement of the autonomous vehicle; and facilitating movement of the autonomous vehicle via implementation, by a processor onboard the autonomous vehicle, of manual instructions provided from a remote user that is remote from the autonomous vehicle.

    System for retrofitting vehicle automation

    公开(公告)号:US10167015B2

    公开(公告)日:2019-01-01

    申请号:US15150992

    申请日:2016-05-10

    摘要: An autonomous vehicle retrofit system includes: a central computer; and a braking interface to decelerate a wheel of a vehicle via actuation of a brake caliper, the braking interface further including a brake pedal; a first master cylinder assembly, mechanically coupled to the brake pedal such that actuation of the brake pedal causes actuation of the first master cylinder assembly; a second master cylinder assembly, coupled to the central computer such that the central computer controls actuation of the second master cylinder assembly; and an actuator selector, hydraulically coupled to the brake caliper, that selectively actuates the brake caliper in response to actuation of at least one of the first master cylinder assembly and the second master cylinder assembly.

    METHODS AND SYSTEMS FOR LIDAR POINT CLOUD ANOMALIES

    公开(公告)号:US20170300059A1

    公开(公告)日:2017-10-19

    申请号:US15585891

    申请日:2017-05-03

    发明人: Ian Rust

    IPC分类号: G05D1/02

    摘要: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method for controlling an autonomous vehicle comprises obtaining lidar data from one or more lidar sensors disposed on the autonomous vehicle during operation of the autonomous vehicle, generating a lidar point cloud using the lidar data, making an initial determination, via a processor onboard the autonomous vehicle, of a possible lidar point cloud anomaly based on a comparison of the lidar point cloud with prior lidar point cloud information stored in memory, receiving a notification from a remote module as to whether the possible lidar point cloud anomaly is a confirmed lidar point cloud anomaly, and taking one or more vehicle actions when there is a confirmed lidar point cloud anomaly.

    DOOR ACTUATOR ADJUSTMENT FOR AUTONOMOUS VEHICLES

    公开(公告)号:US20170241184A1

    公开(公告)日:2017-08-24

    申请号:US15585898

    申请日:2017-05-03

    发明人: Ian Rust

    IPC分类号: E05F15/73 E05F15/40

    CPC分类号: E05F15/73 E05F15/40

    摘要: In one embodiment, a method for controlling an actuator for a door of an autonomous vehicle comprises obtaining data pertaining to a current ride of an autonomous vehicle during operation of the autonomous vehicle; identifying, via a processor using the data, whether one or more circumstances are present that would require an adjustment of a baseline instruction for an automatic opening of the door by the autonomous vehicle via the actuator based on instructions provided to the actuator by the processor; determining an adjustment of the baseline instruction when one or more of the circumstances are present; receiving a request to open the door; and, upon receiving the request: providing the baseline instruction for the actuator to open the door, when none of the circumstances are present; and providing an alternate instruction for the actuator, based on the adjustment, when one or more of the circumstances are present.

    Methods and systems for lidar point cloud anomalies

    公开(公告)号:US10401866B2

    公开(公告)日:2019-09-03

    申请号:US15585891

    申请日:2017-05-03

    发明人: Ian Rust

    摘要: Systems and method are provided for controlling an autonomous vehicle. In one embodiment, a method for controlling an autonomous vehicle comprises obtaining lidar data from one or more lidar sensors disposed on the autonomous vehicle during operation of the autonomous vehicle, generating a lidar point cloud using the lidar data, making an initial determination, via a processor onboard the autonomous vehicle, of a possible lidar point cloud anomaly based on a comparison of the lidar point cloud with prior lidar point cloud information stored in memory, receiving a notification from a remote module as to whether the possible lidar point cloud anomaly is a confirmed lidar point cloud anomaly, and taking one or more vehicle actions when there is a confirmed lidar point cloud anomaly.