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公开(公告)号:US11449058B2
公开(公告)日:2022-09-20
申请号:US16711606
申请日:2019-12-12
Applicant: HONDA MOTOR CO., LTD.
Inventor: Kosuke Nakanishi , Yuji Yasui , Hideki Matsunaga , Yuki Ichino , Takeru Goto
Abstract: A traveling track determination device includes an ECU. The ECU calculates a second course target point, and determines a future traveling track for the vehicle at right/left turn using a first straight line that extends from the vehicle through an intersection in a forward direction, a second straight line that extends along a second course through the second course target point and intersects with the first straight line in the intersection, and a curved track configured of a quadratic Bézier curve.
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公开(公告)号:US11180166B2
公开(公告)日:2021-11-23
申请号:US16754956
申请日:2017-10-11
Applicant: HONDA MOTOR CO., LTD.
Inventor: Takeru Goto , Hideki Matsunaga , Masaaki Nagashima , Yoshimitsu Murahashi
Abstract: Provided is a vehicle control device which, when traffic participants are waiting in the vicinity of a railroad crossing for a train to pass, appropriately controls driving of a vehicle about to pass through the railroad crossing. Entry of the vehicle into the railroad crossing is restrained until a waiting time elapses since when the railroad crossing transitioned from a passage blocking state to a passage allowing state, the waiting time being set in accordance with the kind or the number of the traffic participants present in the vicinity of the railroad crossing. When the waiting time has elapsed, the vehicle is caused to enter the railroad crossing and pass (through) the railroad crossing.
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公开(公告)号:US10948303B2
公开(公告)日:2021-03-16
申请号:US16166627
申请日:2018-10-22
Applicant: HONDA MOTOR CO., LTD.
Inventor: Hirokiyo Kasahara , Takeru Goto
IPC: B60W40/04 , G01C21/34 , G01C21/28 , G01S17/89 , G01S13/931 , G01S13/86 , G01S17/86 , G01S17/931 , B60W60/00 , G01S19/14 , B60W30/12 , G01S17/00
Abstract: A vehicle control device includes a space estimation unit that, in a case where it is recognized that a travel position of a host vehicle is inside a railroad crossing, which is a stop prohibited area, and it is recognized that a side road vehicle intends to enter in front of the host vehicle, on the assumption that the side road vehicle has entered in front of the host vehicle, estimates whether a space enough for the host vehicle is formed between the side road vehicle and the stop prohibited area, and a vehicle controller that, if it is estimated that the space is not formed, causes the host vehicle to perform entry prevention action to prevent the side road vehicle from entering in front of the host vehicle.
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公开(公告)号:US10807609B2
公开(公告)日:2020-10-20
申请号:US16162674
申请日:2018-10-17
Applicant: HONDA MOTOR CO., LTD.
Inventor: Takeru Goto , Toshiaki Takano
Abstract: A vehicle control device includes a restricted section setting unit configured to set a restricted section where manual driving is restricted on a scheduled travel route of a host vehicle, and a takeover process unit configured to perform a takeover process regarding handover of automated driving to the manual driving in accordance with a request from a driver of the host vehicle. In a case where the request for the handover is received in the set restricted section, the takeover process unit performs the takeover process that differs depending on at least one of the type of the restricted section, and a distance and a time it takes for the host vehicle to pass through the restricted section.
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公开(公告)号:US20200074302A1
公开(公告)日:2020-03-05
申请号:US16553309
申请日:2019-08-28
Applicant: HONDA MOTOR CO., LTD.
Inventor: Takeru Goto
Abstract: A learning device includes a plurality of individual learners. Each of the individual learners includes a planner configured to generate information for defining an operation of the operation subject corresponding to itself, and a reward deriver configured to derive a reward obtained by evaluating information to be evaluated including feedback information obtained from a simulator by inputting information based on the information for defining the operation of the operation subject to the simulator. The planner performs reinforcement learning based on the reward derived by the reward deriver, and at least two of the plurality of individual learners are different in the operations of the operation subject in which the reward derived by the reward deriver is maximized.
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