公开(公告)号：US09896107B1

公开(公告)日：2018-02-20

申请号：US15281423

申请日：2016-09-30

Applicant: Denso International America, Inc.

Inventor： Minglei Huang

IPC: B60W30/18 ,  G08G1/16 ,  G05D1/02 ,  G05D1/00 ,  B60W50/14 ,  B60W10/20 ,  B60W10/04 ,  B60W10/184

CPC classification number: B60W30/18163 ,  B60Q1/00 ,  B60W10/04 ,  B60W10/184 ,  B60W10/20 ,  B60W50/14 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2710/00 ,  G05D1/0088 ,  G05D1/0246 ,  G08G1/166 ,  G08G1/167

Abstract: A system and method are provided and include a light source projector mounted on a subject vehicle, a controller that controls the light source projector to project a bounding box on a roadway upon which the subject vehicle is traveling in a destination lane of a lane change of the subject vehicle; and a sensor that detects a response image projected by a secondary vehicle on the roadway in the adjacent lane, the response image indicating either agreement or disagreement with the lane change of the subject vehicle. The controller generates an alert in the subject vehicle based on the detected response.

公开(公告)号：US20170357361A1

公开(公告)日：2017-12-14

申请号：US15353606

申请日：2016-11-16

Applicant: Samsung Display Co., Ltd.

Inventor： Won Ki HONG ,  Jong Seo LEE

IPC: G06F3/041 ,  B60W50/08 ,  G06F3/044 ,  B60W10/18 ,  G05D1/00 ,  G05D1/02 ,  B60W10/20 ,  G06F3/0482 ,  B60W50/14 ,  B60W10/10 ,  B60K37/06 ,  B60W10/04 ,  G06F3/0488

CPC classification number: G06F3/0416 ,  B60K35/00 ,  B60K37/06 ,  B60K2370/11 ,  B60K2370/1438 ,  B60W10/04 ,  B60W10/10 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18154 ,  B60W30/18163 ,  B60W50/082 ,  B60W50/10 ,  B60W50/14 ,  B60W2050/143 ,  B60W2050/146 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2540/04 ,  B60W2710/00 ,  B62D1/00 ,  G05D1/0016 ,  G05D1/0088 ,  G05D1/021 ,  G05D2201/0213 ,  G06F3/0414 ,  G06F3/044 ,  G06F3/0482 ,  G06F3/0488 ,  G06F3/04883 ,  G06F3/04886 ,  G06F2203/04105 ,  G06F2203/04106 ,  G06F2203/04803

Abstract: The present disclosure relates to a touch sensor and a method for sensing a touch using the same, the touch sensor including a substrate, a first sensor and a plurality of second sensors provided on the substrate and configured to sense a location and a force of a touch, wherein the first sensor is disposed in a central area of one surface of the substrate, the plurality of second sensors are arranged to surround the first sensor, and a width of the plurality of second sensors increases as a distance from the central area increases.

公开(公告)号：US20170197631A1

公开(公告)日：2017-07-13

申请号：US15468251

申请日：2017-03-24

Applicant: Honda Motor Co., Ltd.

Inventor： Justin E. Sinaguinan

IPC: B60W50/00 ,  G06F9/445 ,  B60W40/08

CPC classification number: B60W50/0098 ,  B60W40/08 ,  B60W2540/06 ,  B60W2540/28 ,  B60W2550/40 ,  B60W2710/00 ,  B60W2720/00 ,  B60W2750/00 ,  G06F9/44505 ,  G06F9/4451

Abstract: A method and system for applying vehicle settings to a vehicle that include storing at least one user settings profile on a plurality of components associated with the vehicle based on a computing device that is used to create or update the at least one user settings profile. The system and method also include determining if the at least one user settings profile has been updated since a last ignition cycle of the vehicle. The system and method further include selecting the at least one user settings profile to be applied to control a vehicle system of the vehicle from at least one component of the plurality of components based on if the at least one user settings profile has been updated since the last ignition cycle of the vehicle and on a connection of at least: a first portable device and a second portable device to the vehicle.

公开(公告)号：US20160318416A1

公开(公告)日：2016-11-03

申请号：US15107953

申请日：2014-11-20

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Hideki KAMATANI ,  Suguru KUMAZAWA ,  Ryoji SATO

IPC: B60L11/18 ,  B60L11/02 ,  B60W20/00

CPC classification number: B60L11/1861 ,  B60K6/442 ,  B60L3/0046 ,  B60L11/02 ,  B60L11/1862 ,  B60L2210/10 ,  B60L2240/54 ,  B60W20/00 ,  B60W2710/00 ,  B60Y2400/20 ,  Y02T10/70 ,  Y02T10/7005 ,  Y02T10/7044 ,  Y02T10/705 ,  Y02T10/7077 ,  Y02T10/7216 ,  Y10S903/903

Abstract: A power supply apparatus of a vehicle includes: an engine and a first MG; a battery; a converter stepping up a voltage of the battery and supplying the stepped-up voltage to an inverter of the vehicle; and a control device controlling the converter in a continuous voltage step-up mode in which the converter is continuously operated and an intermittent voltage step-up mode in which the converter is intermittently operated. The control device estimates an SOC of the battery based on battery current IB flowing into and out of the battery, and forces the battery to be charged by the engine and the first MG when an estimate value of the SOC is lower than a predetermined lower limit. The control device suppresses an operation of the converter in the intermittent voltage step-up mode to a greater extent as the estimate value of the SOC is closer to the lower limit.

Abstract translation: 车辆的电源装置包括：发动机和第一MG; 一个电池 转换器升压电池的电压并将升压电压提供给车辆的逆变器; 以及控制装置，其中连续升压模式控制转换器，其中转换器被连续操作，并且间歇性升压模式，其中转换器间歇地操作。 控制装置基于流入和流出电池的电池电流IB来估计电池的SOC，并且当SOC的估计值低于预定的下限时，迫使电池被发动机和第一MG充电 。 当SOC的估计值更接近下限时，控制装置在间歇升压模式下抑制转换器的工作更大程度地抑制。

公开(公告)号：US20160200313A1

公开(公告)日：2016-07-14

申请号：US14912190

申请日：2014-09-04

Applicant: SANYO ELECTRIC CO., LTD.

Inventor： YOHEI ISHII

IPC: B60W20/14 ,  B60L7/10 ,  B60L11/18

CPC classification number: B60W20/14 ,  B60L7/10 ,  B60L7/14 ,  B60L11/005 ,  B60L11/14 ,  B60L11/1814 ,  B60L11/1861 ,  B60L11/1862 ,  B60L11/1864 ,  B60L15/2009 ,  B60L2210/30 ,  B60L2210/40 ,  B60L2220/14 ,  B60L2240/12 ,  B60L2240/421 ,  B60L2240/423 ,  B60W2510/244 ,  B60W2710/00 ,  Y02T10/644 ,  Y02T10/645 ,  Y02T10/70 ,  Y02T10/7005 ,  Y02T10/7011 ,  Y02T10/7022 ,  Y02T10/7044 ,  Y02T10/7061 ,  Y02T10/7072 ,  Y02T10/7077 ,  Y02T10/7241 ,  Y02T10/7275 ,  Y02T90/14 ,  Y10S903/947

Abstract: Charging/discharging control system for an electricity storage device includes motor/generator, electricity storage device, AC/DC conversion unit for performing AC/DC conversion processing between the AC power of motor/generator and the DC power of electricity storage device, and control device for controlling the charge and discharge of electricity storage device via AC/DC conversion unit. During charge control, in accordance with the charge state of electricity storage device, control device restricts the magnitude of the DC power that is obtained by converting the generation power generated by the regenerative braking of motor/generator at the deceleration and is supplied to electricity storage device.

Abstract translation: 用于蓄电装置的充放电控制系统包括电动机/发电机，蓄电装置，用于在电动机/发电机的交流电力与蓄电装置的直流电力之间进行AC / DC转换处理的AC / DC转换单元，以及控制 用于通过AC / DC转换单元控制蓄电装置的充放电的装置。 在充电控制期间，控制装置根据蓄电装置的充电状态来限制通过将减速时的电动机/发电机的再生制动产生的发电电力转换为电力储存而获得的直流电力的大小， 设备。

公开(公告)号：US20240132060A1

公开(公告)日：2024-04-25

申请号：US18402323

申请日：2024-01-02

Applicant: David E. Newman ,  R. Kemp Massengill

Inventor： David E. Newman ,  R. Kemp Massengill

IPC: B60W30/09 ,  B60Q9/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/184 ,  B60W10/20 ,  B60W30/085 ,  B60W30/095 ,  B60W50/12 ,  B60W50/14 ,  B60W50/16 ,  G08G1/16

CPC classification number: B60W30/09 ,  B60Q9/008 ,  B60W10/04 ,  B60W10/18 ,  B60W10/184 ,  B60W10/20 ,  B60W30/085 ,  B60W30/095 ,  B60W30/0956 ,  B60W50/12 ,  B60W50/14 ,  B60W50/16 ,  G08G1/16 ,  G08G1/166 ,  G08G1/167 ,  B60W2050/143 ,  B60W2420/403 ,  B60W2420/408 ,  B60W2420/54 ,  B60W2420/60 ,  B60W2552/05 ,  B60W2554/00 ,  B60W2554/4041 ,  B60W2554/80 ,  B60W2554/801 ,  B60W2554/802 ,  B60W2554/804 ,  B60W2555/20 ,  B60W2710/00 ,  B60W2754/10

Abstract: Vehicles can be operated according to an artificial intelligence model contained in an on-board processor. The AI model can analyze sensor data, such as visible or infrared images of traffic, and determine when a collision is possible, whether it has become imminent, and whether the collision is avoidable or unavoidable using sequences of accelerations, braking, and steering. The AI model can also select the most appropriate sequence of actions from a large plurality of calculated sequences to avoid the collision if avoidable, and to minimize the harm if unavoidable. The AI model can also cause a processor to actuate linkages connected to the throttle (or electric power control), brakes (or regenerative braking), and steering to implement the selected sequence of actions. Thus the collision can be avoided or mitigated by an ADAS system or a fully autonomous vehicle.

公开(公告)号：US11951979B1

公开(公告)日：2024-04-09

申请号：US18520357

申请日：2023-11-27

Applicant: David E. Newman ,  R. Kemp Massengill

Inventor： David E. Newman ,  R. Kemp Massengill

IPC: B60W30/08 ,  B60Q9/00 ,  B60W10/04 ,  B60W10/18 ,  B60W10/184 ,  B60W10/20 ,  B60W30/085 ,  B60W30/09 ,  B60W30/095 ,  B60W50/12 ,  B60W50/14 ,  B60W50/16 ,  G05D1/00 ,  G08G1/16

CPC classification number: B60W30/09 ,  B60Q9/008 ,  B60W10/04 ,  B60W10/18 ,  B60W10/184 ,  B60W10/20 ,  B60W30/085 ,  B60W30/095 ,  B60W30/0956 ,  B60W50/12 ,  B60W50/14 ,  B60W50/16 ,  G05D1/0214 ,  G08G1/16 ,  G08G1/166 ,  G08G1/167 ,  B60W2050/143 ,  B60W2420/403 ,  B60W2420/408 ,  B60W2420/54 ,  B60W2420/60 ,  B60W2552/05 ,  B60W2554/00 ,  B60W2554/4041 ,  B60W2554/80 ,  B60W2554/801 ,  B60W2554/802 ,  B60W2554/804 ,  B60W2555/20 ,  B60W2710/00 ,  B60W2754/10

Abstract: Disclosed are systems and methods for autonomous vehicles and vehicles with automatic driver-assistance systems (ADAS) to automatically detect an imminent collision, determine whether the collision is avoidable or unavoidable, and plot a course minimizing the hazard using an artificial intelligence (AI) model. For example, a collision is avoidable if the vehicle can avoid it by steering, braking, and/or accelerating in a particular sequence. The AI model finds the best sequence for collision avoidance, and if that is not possible, it finds the best sequence for minimizing the harm. The harm is based on an estimated number of fatalities, injuries, and property damage predicted to be caused in the collision. The AI-based situation analysis and sequence selection are directly applicable to human-driven vehicles with an emergency-intervention ADAS system, as well as fully autonomous vehicles. With fast electronic reflexes and multi-sensor situation awareness, the AI model can save lives on the highway.

公开(公告)号：US11807230B2

公开(公告)日：2023-11-07

申请号：US18198459

申请日：2023-05-17

Applicant: David E. Newman ,  R. Kemp Massengill

Inventor： David E. Newman ,  R. Kemp Massengill

IPC: B60W30/08 ,  B60W30/09 ,  B60W10/20 ,  B60W10/04 ,  B60W30/095 ,  B60Q9/00 ,  G08G1/16 ,  B60W10/184 ,  B60W30/085 ,  B60W50/12 ,  B60W50/14 ,  G05D1/02 ,  B60W10/18 ,  B60W50/16

CPC classification number: B60W30/09 ,  B60Q9/008 ,  B60W10/04 ,  B60W10/18 ,  B60W10/184 ,  B60W10/20 ,  B60W30/085 ,  B60W30/095 ,  B60W30/0956 ,  B60W50/12 ,  B60W50/14 ,  B60W50/16 ,  G05D1/0214 ,  G08G1/16 ,  G08G1/166 ,  G08G1/167 ,  B60W2050/143 ,  B60W2420/42 ,  B60W2420/52 ,  B60W2420/60 ,  B60W2554/00 ,  B60W2554/4041 ,  B60W2554/801 ,  B60W2554/804 ,  B60W2710/00 ,  B60W2754/10 ,  G05D2201/0213

Abstract: In a traffic emergency, there is no time for a human to integrate multiple sensor data streams and devise a plan for avoiding a collision. Only the electronic reflexes of a trained automatic system can provide evasive action in time. Disclosed is an artificial intelligence (AI) model trained to recognize an imminent collision based on sensor data, rapidly devise and test a large number of possible sequences of actions, some drawn from a library of previously-successful strategies and others invented by the AI model. If any sequence can avoid the collision, the AI model implements that sequence immediately. If none of the sequences can avoid the collision, the AI model calculates the harm caused by each sequence and picks the one that causes the least harm (fatalities, injuries, etc.) for implementation. AI is needed to find a possible solution in time to implement it and thereby mitigate the imminent collision.

公开(公告)号：US20180081370A1

公开(公告)日：2018-03-22

申请号：US15273283

申请日：2016-09-22

Applicant: Robert Bosch GmbH

Inventor： James Stephen Miller ,  Mark Gehrke

IPC: G05D1/02 ,  G05D1/00 ,  B60W30/182 ,  B60W50/14 ,  B60W10/20 ,  B60W10/18 ,  B60W10/04

CPC classification number: G05D1/0246 ,  B60D1/06 ,  B60D1/36 ,  B60D1/62 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/182 ,  B60W50/14 ,  B60W2420/42 ,  B60W2550/10 ,  B60W2710/00 ,  G05D1/0088

Abstract: A method and system for determining a position of a hitch ball on a vehicle. The system performs a method that includes generating an image that includes the hitch ball with a video camera. An electronic processor that includes an electronic processor and a memory receives the image and analyzes the image to determine a distance between the hitch ball and the video camera. The electronic processor analyzes the image to determine a height of the hitch ball based on the distance between the hitch ball and the video camera.

公开(公告)号：US20180067490A1

公开(公告)日：2018-03-08

申请号：US15411830

申请日：2017-01-20

Applicant: Mentor Graphics Corporation

Inventor： Matthias Pollach ,  Ljubo Mercep

IPC: G05D1/00 ,  G05D1/02 ,  G06N5/04 ,  G06N7/00

CPC classification number: G05D1/0231 ,  B60W10/04 ,  B60W10/184 ,  B60W10/20 ,  B60W30/0953 ,  B60W30/0956 ,  B60W2420/52 ,  B60W2710/00 ,  G05D1/0088 ,  G05D1/0255 ,  G05D1/0257 ,  G06K9/00791 ,  G06K9/00979 ,  G06K9/3233 ,  G06K2009/00738 ,  G06N5/047 ,  G06N7/005 ,  G08G1/16

Abstract: This application discloses a computing system to implement pre-tracking sensor event detection and fusion in an assisted or automated driving system of a vehicle. The computing system can receive an environmental model including sensor measurement data from different types of sensors in the vehicle. The computing system can identify, on a per-sensor type basis, patterns in the sensor measurement data indicative of possible objects proximate to the vehicle. The computing system can associate the patterns in the sensor measurement data from different types of the sensors to identify detection events corresponding to the possible objects proximate to the vehicle. The computing system also can generate values and confidence levels corresponding to properties of the detection events. The computing system can utilize the detection events and corresponding values and confidence levels to pre-classify, identify, and track objects in the environment model.