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公开(公告)号:US20210035447A1
公开(公告)日:2021-02-04
申请号:US16527495
申请日:2019-07-31
发明人: Hiromitsu Urano , Maiko Hirano , Yusuke Sawamura
IPC分类号: G08G1/0968 , G01C21/36 , G05D1/02 , G08G1/01 , G08G1/16
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.
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公开(公告)号:US20210002943A1
公开(公告)日:2021-01-07
申请号:US16503743
申请日:2019-07-05
摘要: A vehicle cargo area door control system for a vehicle including at least one cargo area and at least one cargo area door. The control system includes one or more processors and a memory communicably coupled to the processors for storing a cargo area door control module. The door control module operates to, responsive to the generation or receipt of an instruction which will cause the vehicle to start moving, determine if all vehicle cargo area doors are closed. If at least one cargo area door is not closed, command(s) are generated to close the at least one cargo area door.
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33.
公开(公告)号:US20200150652A1
公开(公告)日:2020-05-14
申请号:US16189220
申请日:2018-11-13
摘要: System, methods, and other embodiments described herein relate to transitioning a vehicle from an autonomous to a manual driving mode. One embodiment analyzes data from one or more vehicle sensors to detect, at a current vehicle position, features in a first detection region and a second detection region ahead of the vehicle; determines, for each of one or more hypothetical vehicle positions, which features detected at the current position, if any, lie within the first detection region at that hypothetical position; identifies, among the one or more hypothetical positions, at least one localization-failure position at which localization of the vehicle will fail due to insufficient features being detected within the first detection region at the at least one localization-failure position; and initiates a transition from the autonomous driving mode to the manual driving mode based, at least in part, on the at least one localization-failure position.
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34.
公开(公告)号:US20200148170A1
公开(公告)日:2020-05-14
申请号:US16188925
申请日:2018-11-13
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
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.
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35.
公开(公告)号:US11763694B2
公开(公告)日:2023-09-19
申请号:US16935486
申请日:2020-07-22
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
CPC分类号: G09B9/052 , B60W50/14 , B60W60/0054 , B60W60/0057 , G06V20/58 , G09B9/042 , G09B19/167
摘要: System, methods, and other embodiments described herein relate to improving the training of a driver during an automated driving system mode. In one embodiment, a method includes generating, in association with a maneuver by the driver that is a takeover of a vehicle, an automated motion plan associated with the maneuver. The method also includes determining if the automated motion plan is valid based, at least in part, on a condition that one or more parameters of a reliability model satisfy a threshold. The one or more parameters may be associated with the vehicle and a driving environment. The method also includes notifying the driver that the maneuver was unnecessary using a notification signal if the one or more parameters satisfy the threshold.
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公开(公告)号:US11294382B2
公开(公告)日:2022-04-05
申请号:US16199928
申请日:2018-11-26
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
IPC分类号: G05D1/02 , B60W30/182 , G05D1/00 , B60W50/00
摘要: Systems and methods for determining routes to destinations for a vehicle may: generate output signals; obtain road information for a set of roads; determine presence information that indicates whether one or more passengers are present in the vehicle; determine the location information of the vehicle; obtain a target destination that represents a location the vehicle is intended to reach; determine a first route including a first subset of the set of roads; determine a second route including a second subset of the set of roads; and control the vehicle autonomously to traverse the vehicle along either the first route or the second route in accordance with whether one or more passengers are present in the vehicle.
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公开(公告)号:US11292458B2
公开(公告)日:2022-04-05
申请号:US16527512
申请日:2019-07-31
发明人: Hiromitsu Urano , Maiko Hirano , Yusuke Sawamura
IPC分类号: B60W30/09 , B60W30/095 , B60W50/14
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.
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38.
公开(公告)号:US11208107B2
公开(公告)日:2021-12-28
申请号:US16199999
申请日:2018-11-26
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
摘要: Systems and methods for selecting among different driving modes for autonomous driving of a vehicle may: generate output signals; determine the vehicle proximity information that indicates whether one or more vehicles are within the particular proximity of the vehicle; determine the internal passenger presence information that indicates whether one or more passengers are present in the vehicle; select a first driving mode or a second driving mode based on one or more determinations; and control the vehicle autonomously in accordance with the selection of either the first driving mode or the second driving mode.
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公开(公告)号:US11144053B2
公开(公告)日:2021-10-12
申请号:US16375610
申请日:2019-04-04
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
摘要: A method for controlling a driving condition component of an autonomous vehicle is presented. The method includes determining whether current conditions would limit a driver's visibility. The method also includes predicting whether the driver will enable a manual mode during the current conditions. The method further includes controlling the driving condition component to mitigate the current conditions prior to the driver enabling the manual mode.
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公开(公告)号:US11085779B2
公开(公告)日:2021-08-10
申请号:US16220977
申请日:2018-12-14
发明人: Hiromitsu Urano , Kentaro Ichikawa , Junya Ueno
摘要: A method for route planning for an autonomous vehicle includes determining whether a route to a destination includes a stall factor and determining whether the autonomous vehicle will be occupied during the route. The method also includes determining an alternate route based on the determined stall factor when the autonomous vehicle will be unoccupied. The method still further includes controlling the autonomous vehicle to drive on the alternate route when the alternate route does not include a stall factor.
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