公开(公告)号：US20240183673A1

公开(公告)日：2024-06-06

申请号：US18417786

申请日：2024-01-19

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Blake Konrardy ,  Scott T. Christensen ,  Gregory Hayward ,  Scott Farris

IPC: G01C21/34 ,  B60L53/36 ,  B60L58/12 ,  B60P3/12 ,  B60R16/023 ,  B60R21/00 ,  B60R21/01 ,  B60R21/0136 ,  B60R21/34 ,  B60R25/04 ,  B60R25/10 ,  B60R25/102 ,  B60R25/104 ,  B60R25/25 ,  B60R25/30 ,  B60R25/31 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/095 ,  B60W30/12 ,  B60W30/16 ,  B60W30/18 ,  B60W40/04 ,  B60W60/00 ,  G01B21/00 ,  G01C21/36 ,  G01S19/13 ,  G01S19/42 ,  G05B15/02 ,  G05B23/02 ,  G05D1/223 ,  G05D1/227 ,  G05D1/228 ,  G05D1/247 ,  G05D1/249 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G05D1/693 ,  G05D1/695 ,  G05D1/697 ,  G06F11/36 ,  G06F16/2455 ,  G06F16/903 ,  G06F17/00 ,  G06F21/32 ,  G06F21/55 ,  G06F30/15 ,  G06F30/20 ,  G06N20/00 ,  G06Q10/1093 ,  G06Q10/20 ,  G06Q30/0283 ,  G06Q30/0645 ,  G06Q40/08 ,  G06Q50/163 ,  G06Q50/26 ,  G06Q50/40 ,  G07C5/00 ,  G07C5/08 ,  G07C9/00 ,  G08B21/00 ,  G08B21/02 ,  G08B21/18 ,  G08B25/00 ,  G08B25/01 ,  G08G1/00 ,  G08G1/017 ,  G08G1/0965 ,  G08G1/0967 ,  G08G1/14 ,  G08G1/16 ,  G16Y10/80 ,  G16Y30/00 ,  H04L12/28 ,  H04L67/12 ,  H04L67/306 ,  H04N7/18

CPC classification number: G01C21/3461 ,  B60L53/36 ,  B60L58/12 ,  B60P3/12 ,  B60R16/0234 ,  B60R21/0136 ,  B60R21/34 ,  B60R25/04 ,  B60R25/10 ,  B60R25/1001 ,  B60R25/102 ,  B60R25/104 ,  B60R25/252 ,  B60R25/255 ,  B60R25/305 ,  B60R25/31 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/0956 ,  B60W30/12 ,  B60W30/16 ,  B60W30/18163 ,  B60W40/04 ,  B60W60/0023 ,  B60W60/0053 ,  B60W60/0059 ,  G01B21/00 ,  G01C21/34 ,  G01C21/3415 ,  G01C21/343 ,  G01C21/3438 ,  G01C21/3453 ,  G01C21/3469 ,  G01C21/3617 ,  G01C21/362 ,  G01C21/3697 ,  G01S19/13 ,  G05B15/02 ,  G05B23/0245 ,  G05D1/223 ,  G05D1/227 ,  G05D1/228 ,  G05D1/247 ,  G05D1/249 ,  G05D1/617 ,  G05D1/646 ,  G05D1/69 ,  G05D1/692 ,  G05D1/693 ,  G05D1/695 ,  G05D1/697 ,  G06F11/3688 ,  G06F11/3692 ,  G06F16/2455 ,  G06F16/90335 ,  G06F17/00 ,  G06F21/32 ,  G06F21/55 ,  G06F30/15 ,  G06F30/20 ,  G06Q10/1095 ,  G06Q10/20 ,  G06Q30/0284 ,  G06Q30/0645 ,  G06Q40/08 ,  G06Q50/163 ,  G06Q50/265 ,  G06Q50/40 ,  G07C5/006 ,  G07C5/008 ,  G07C5/0808 ,  G07C5/0816 ,  G07C5/0841 ,  G07C9/00563 ,  G08B21/00 ,  G08B21/02 ,  G08B21/18 ,  G08B25/00 ,  G08B25/014 ,  G08G1/017 ,  G08G1/0965 ,  G08G1/096725 ,  G08G1/146 ,  G08G1/148 ,  G08G1/161 ,  G08G1/165 ,  G08G1/166 ,  G08G1/167 ,  G08G1/20 ,  G16Y10/80 ,  G16Y30/00 ,  H04L12/2803 ,  H04L12/2816 ,  H04L12/2825 ,  H04L67/306 ,  H04N7/183 ,  B60R2021/0027 ,  B60R2021/01013 ,  B60R2025/1013 ,  B60W2420/403 ,  B60W2420/408 ,  B60W2530/209 ,  B60W2540/229 ,  B60W2552/05 ,  B60W2552/35 ,  B60W2554/4026 ,  B60W2554/4029 ,  B60W2554/4041 ,  B60W2554/406 ,  B60W2556/10 ,  G01S19/42 ,  G06F2221/034 ,  G06N20/00 ,  H04L67/12

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

公开(公告)号：US12002361B2

公开(公告)日：2024-06-04

申请号：US16917997

申请日：2020-07-01

Applicant: CAVH LLC

Inventor： Yang Cheng ,  Bin Ran ,  Shen Li ,  Shuoxuan Dong ,  Tianyi Chen ,  Yuan Zheng ,  Xiaotian Li ,  Zhen Zhang ,  Yang Zhou

IPC: G08G1/16 ,  G08G1/01 ,  G08G1/0967

CPC classification number: G08G1/164 ,  G08G1/0116 ,  G08G1/0141 ,  G08G1/096783 ,  G08G1/165 ,  G08G1/166

Abstract: Provided herein is technology relating to connected and automated highway systems and particularly, but not exclusively, to systems and methods for providing localized self-evolving artificial intelligence for intelligent road infrastructure systems.

公开(公告)号：US11983938B2

公开(公告)日：2024-05-14

申请号：US17777830

申请日：2020-11-20

Applicant: NETRADYNE, INC.

Inventor： Adam David Kahn ,  Venkat Ramanan Venkatachalam Jayaraman ,  Stephan Franklin Dunn ,  Matthew Karl Drake ,  Venkata Sreekanta Reddy Annapureddy ,  Pratik Verma ,  Aravind P (Padmasanan) ,  Vinay Kumar Rai ,  Hemanth Roy Badugu ,  Michael Campos ,  David Jonathan Julian ,  Avneesh Agrawal

IPC: G06V20/58 ,  B60W40/09 ,  B60W50/14 ,  G06V20/40 ,  G06V20/56 ,  G06V20/59 ,  G08G1/04 ,  G08G1/16 ,  H04N7/18

CPC classification number: G06V20/588 ,  B60W40/09 ,  B60W50/14 ,  G06V20/44 ,  G06V20/584 ,  G06V20/597 ,  G08G1/04 ,  G08G1/165 ,  G08G1/166 ,  H04N7/185 ,  B60W2050/146 ,  B60W2420/403 ,  B60W2540/229 ,  B60W2540/30

Abstract: Systems and methods for curating video and other driving-related data for use in driver coaching, which may include selecting or ranking driving behaviors for coaching, selecting or ranking drivers for coaching, selecting or ranking video and other data to be used in coaching, preparing for, scheduling, and summarizing coaching sessions, matching the format of coaching to the behavior or person being coached, preventing unsafe driving situations, influencing job dispatch decisions based on safety scores, and/or reducing data bandwidth usage based on a determined coaching effectiveness of video data.

公开(公告)号：US11971259B2

公开(公告)日：2024-04-30

申请号：US17052774

申请日：2018-05-04

Applicant: Harman International Industries, Incorporated

Inventor： Gustavo Adolfo Fortmann

IPC: G01C21/30 ,  G06T7/70 ,  G06V20/56 ,  G06V20/58 ,  G01C21/36 ,  G05D1/00 ,  G08G1/16

CPC classification number: G01C21/30 ,  G06V20/58 ,  G06V20/588 ,  G01C21/3602 ,  G05D1/0231 ,  G06T7/70 ,  G06T2207/30252 ,  G06T2207/30256 ,  G06T2207/30261 ,  G06V20/56 ,  G08G1/165 ,  G08G1/166

Abstract: The present disclosure relates to systems, devices and methods for contextualizing objects relative to a vehicle horizon. In one embodiment, a method is provided including identifying a vehicle horizon based on vehicle trajectory and roadway data relative to the vehicle position and vehicle trajectory. The vehicle horizon is identified to determine at least one roadway segment. Objects relative to the vehicle may be identified and assigned to a roadway segment. Objects may be contextualized by assigning only objects that are associated with the vehicles horizon. Each object assigned to a roadway segment is assigned based on the vehicle horizon. The method may include monitoring each object assigned to a roadway segment associated with the vehicle horizon. By monitoring assigned objects, objects of little to no consequence to the vehicle can be ignored and computing resources of the vehicle may not be wasted on tracking objects of no interest.

公开(公告)号：US11924578B2

公开(公告)日：2024-03-05

申请号：US17817888

申请日：2022-08-05

Applicant: KYOCERA Corporation

Inventor： Akifumi Hirata

IPC: H04N5/272 ,  B60R1/26 ,  G01C21/00 ,  G01S15/86 ,  G01S15/931 ,  G06V20/58 ,  G08B5/22 ,  G08G1/16 ,  H04N7/18

CPC classification number: H04N5/272 ,  B60R1/26 ,  G01C21/3826 ,  G06V20/58 ,  G08B5/22 ,  G08G1/165 ,  H04N7/183 ,  B60R2300/301 ,  B60R2300/305 ,  B60R2300/8086 ,  G01S15/86 ,  G01S15/931

Abstract: An image processing apparatus (10) includes an interface (12) configured to acquire a surrounding image of a moveable body (1) and a processor (12) configured to overlay a display indicating a course trajectory of a specific portion of the moveable body (1) in a travel direction of the moveable body (1) on the surrounding image at a position corresponding to the height of the specific portion from a road surface (3). The processor (12) is configured to change the display indicating the course trajectory when an obstacle, included in the surrounding image and present in the travel direction of the moveable body (1), and the course trajectory of the specific portion are in contact.

公开(公告)号：US11912310B2

公开(公告)日：2024-02-27

申请号：US17359007

申请日：2021-06-25

Applicant: TUSIMPLE, INC.

Inventor： Yiqian Gan ,  Yijie Wang ,  Xiaodi Hou ,  Lingting Ge

IPC: B60W60/00 ,  G08G1/16 ,  G06T7/73 ,  G06T7/62 ,  G06T3/40 ,  G06V20/58

CPC classification number: B60W60/0027 ,  G06T3/40 ,  G06T7/62 ,  G06T7/73 ,  G06V20/58 ,  G08G1/165 ,  G08G1/166 ,  B60W2420/42 ,  B60W2554/20 ,  B60W2554/4042 ,  B60W2554/4043 ,  B60W2554/4044 ,  G06T2207/30261

Abstract: A method includes receiving a series of road images from a side-view camera sensor of the autonomous driving vehicle. For each object from objects captured in the series of road images, a series of bounding boxes in the series of road images is generated, and a direction of travel or stationarity of the object is determined. The methods and apparatus also include determining a speed of each object for which the direction of travel has been determined and determining, based on the directions of travel, speeds, or stationarity of the objects, whether the autonomous driving vehicle can safely move in a predetermined direction. Furthermore, one or more control signals is sent to the autonomous driving vehicle to cause the autonomous driving vehicle to move or to remain stationary based on determining whether the autonomous driving vehicle can safely move in the predetermined direction.

公开(公告)号：US11898862B2

公开(公告)日：2024-02-13

申请号：US18117642

申请日：2023-03-06

Applicant: State Farm Mutual Automobile Insurance Company

Inventor： Blake Konrardy ,  Scott T. Christensen ,  Gregory Hayward ,  Scott Farris

IPC: G08G1/00 ,  B60W30/095 ,  B60W40/04 ,  B60R21/00 ,  B60R21/01 ,  H04L67/12 ,  G01S19/42 ,  G06N20/00 ,  G01C21/34 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/18 ,  G08G1/16 ,  G01S19/13 ,  G05D1/02 ,  G08G1/14 ,  B60L53/36 ,  G05B15/02 ,  G08B25/01 ,  H04L12/28 ,  G06F16/2455 ,  B60R25/04 ,  B60R25/10 ,  B60R25/102 ,  B60R25/25 ,  G06F21/32 ,  B60R21/0136 ,  B60R21/34 ,  G05D1/00 ,  G01C21/36 ,  G08G1/017 ,  B60P3/12 ,  G05B23/02 ,  G01B21/00 ,  G06F17/00 ,  G08B21/00 ,  G08B21/18 ,  G06Q10/1093 ,  G06Q10/20 ,  B60L58/12 ,  B60R25/104 ,  B60R25/30 ,  B60R25/31 ,  G06Q30/0283 ,  G06Q30/0645 ,  G06Q50/30 ,  G07C9/00 ,  G08B21/02 ,  G08B25/00 ,  H04L67/306 ,  G06F30/20 ,  G06F30/15 ,  G07C5/08 ,  G06F21/55 ,  G06Q50/16 ,  G08G1/0967 ,  G06F16/903 ,  G06Q50/26 ,  H04N7/18 ,  G16Y10/80 ,  G16Y30/00 ,  G06F11/36 ,  B60W60/00 ,  G06Q40/08 ,  B60R16/023 ,  G07C5/00 ,  G08G1/0965

CPC classification number: G01C21/3461 ,  B60L53/36 ,  B60L58/12 ,  B60P3/12 ,  B60R16/0234 ,  B60R21/0136 ,  B60R21/34 ,  B60R25/04 ,  B60R25/10 ,  B60R25/1001 ,  B60R25/102 ,  B60R25/104 ,  B60R25/252 ,  B60R25/255 ,  B60R25/305 ,  B60R25/31 ,  B60W10/04 ,  B60W10/18 ,  B60W10/20 ,  B60W30/0956 ,  B60W30/18163 ,  B60W40/04 ,  B60W60/0023 ,  B60W60/0053 ,  B60W60/0059 ,  G01B21/00 ,  G01C21/34 ,  G01C21/343 ,  G01C21/3415 ,  G01C21/3438 ,  G01C21/3453 ,  G01C21/3469 ,  G01C21/362 ,  G01C21/3617 ,  G01C21/3697 ,  G01S19/13 ,  G05B15/02 ,  G05B23/0245 ,  G05D1/0011 ,  G05D1/0055 ,  G05D1/0212 ,  G05D1/0231 ,  G05D1/0246 ,  G05D1/0255 ,  G05D1/0285 ,  G05D1/0287 ,  G05D1/0289 ,  G05D1/0293 ,  G05D1/0295 ,  G06F11/3688 ,  G06F11/3692 ,  G06F16/2455 ,  G06F16/90335 ,  G06F17/00 ,  G06F21/32 ,  G06F21/55 ,  G06F30/15 ,  G06F30/20 ,  G06Q10/1095 ,  G06Q10/20 ,  G06Q30/0284 ,  G06Q30/0645 ,  G06Q40/08 ,  G06Q50/163 ,  G06Q50/265 ,  G06Q50/30 ,  G07C5/006 ,  G07C5/008 ,  G07C5/0808 ,  G07C5/0816 ,  G07C5/0841 ,  G07C9/00563 ,  G08B21/00 ,  G08B21/02 ,  G08B21/18 ,  G08B25/00 ,  G08B25/014 ,  G08G1/017 ,  G08G1/0965 ,  G08G1/096725 ,  G08G1/146 ,  G08G1/148 ,  G08G1/161 ,  G08G1/165 ,  G08G1/166 ,  G08G1/167 ,  G08G1/20 ,  G16Y10/80 ,  G16Y30/00 ,  H04L12/2803 ,  H04L12/2816 ,  H04L12/2825 ,  H04L67/306 ,  H04N7/183 ,  B60R2021/0027 ,  B60R2021/01013 ,  B60R2025/1013 ,  B60W2420/403 ,  B60W2420/52 ,  B60W2530/209 ,  B60W2540/229 ,  B60W2552/05 ,  B60W2552/35 ,  B60W2554/406 ,  B60W2554/4026 ,  B60W2554/4029 ,  B60W2554/4041 ,  B60W2556/10 ,  G01S19/42 ,  G05D2201/0212 ,  G05D2201/0213 ,  G06F2221/034 ,  G06N20/00 ,  H04L67/12

Abstract: Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicles and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the robustness of autonomous systems, including the use of virtual assessment of software components within a simulated environment. To this end, a server may retrieve one or more routines associated with autonomous operation. The server may also generate a set of test data associated with test conditions. The server may also execute an emulator that virtually simulates autonomous environment. The test data may be presented to the routines executing in the emulator to generate output data. The server may then analyze the output data to determine a quality metric.

公开(公告)号：US20240028032A1

公开(公告)日：2024-01-25

申请号：US18224061

申请日：2023-07-20

Applicant: Dov MORAN ,  Menahem LASSER

Inventor： Dov MORAN ,  Menahem LASSER

IPC: G05D1/00 ,  G05D1/02 ,  B60W30/09 ,  G08G1/16 ,  B60W30/095 ,  B60W10/20 ,  B60W10/18 ,  B60W40/08 ,  B60W30/085

CPC classification number: G05D1/0055 ,  G05D1/0276 ,  G05D1/0022 ,  B60W30/09 ,  G08G1/166 ,  B60W30/0956 ,  B60W10/20 ,  B60W10/18 ,  G08G1/162 ,  B60W40/08 ,  B60W30/085 ,  G08G1/165 ,  B60W2040/0836 ,  B60W2540/24 ,  B60W2510/18 ,  B60W2510/20 ,  B60W2710/18 ,  B60W2710/20 ,  B60W30/095

Abstract: This patent application discloses methods and systems for alerting computerized motor-vehicles about predicted accidents. In an example method, a motor vehicle alerts another motor vehicle about a predicted accident, even though that accident is between the alerting car and a third motor vehicle—for example, the alert is transmitted by non-visual electromagnetic (EM) radiation. When an adjacent motor vehicle receives such accident alert and determines it might itself be hit, it will react so as to minimize its chances of being hit or at least to minimize the damage if it is being hit. Optionally, one or more of the motor vehicles has an onboard device for measuring a blood-alcohol level of a human driver thereof. The measured blood-alcohol level may be used to compute a probability of an occurrence of an accident and/or may be included in one or more of the transmitted accident alerts.

公开(公告)号：US11877054B2

公开(公告)日：2024-01-16

申请号：US18305490

申请日：2023-04-24

Applicant: MAGNA ELECTRONICS INC.

Inventor： Joern Ihlenburg ,  Jens Steigerwald ,  Michael Dominik Schöppner

IPC: H04N23/66 ,  H04N23/63 ,  H04N23/65 ,  H04N7/18 ,  G08G1/16 ,  B60R16/02 ,  H01B1/02 ,  H01B3/44 ,  H01B7/02 ,  H01B11/18 ,  H04N7/10

CPC classification number: H04N23/66 ,  B60R16/02 ,  G08G1/165 ,  H01B1/02 ,  H01B3/445 ,  H01B7/0216 ,  H01B11/18 ,  H04N7/10 ,  H04N7/181 ,  H04N7/183 ,  H04N23/63 ,  H04N23/65

Abstract: A vehicular vision system includes an electronic control unit (ECU) disposed at a vehicle and a camera having a CMOS imaging sensor operable to capture image data. Image data captured by the imaging sensor of the camera is conveyed from the camera to the ECU via a single core coaxial cable. The camera is in bidirectional communication with the ECU over the single core coaxial cable. The single core coaxial cable commonly carries (i) image data captured by the imaging sensor for processing at a data processor of the ECU and (ii) power from a DC power supply of the ECU to the camera. Image data captured by the imaging sensor is serialized at a data serializer of the camera and is conveyed to the ECU via the single core coaxial cable and is deserialized at the ECU by a data deserializer of the ECU.

公开(公告)号：US20230368660A1

公开(公告)日：2023-11-16

申请号：US18227511

申请日：2023-07-28

Applicant: Zoox, Inc.

Inventor： Mahsa Ghafarianzadeh ,  Benjamin John Sapp

IPC: G08G1/01 ,  G05D1/02 ,  B60K31/00 ,  G06N20/00 ,  G08G1/16 ,  G06V20/58 ,  G06F18/243 ,  G06N7/01 ,  G06V10/764

CPC classification number: G08G1/0145 ,  G05D1/0221 ,  B60K31/0008 ,  G06N20/00 ,  G08G1/165 ,  G06V20/58 ,  G06F18/24323 ,  G06N7/01 ,  G06V10/764

Abstract: A method and system of determining whether a stationary vehicle is a blocking vehicle to improve control of an autonomous vehicle. A perception engine may detect a stationary vehicle in an environment of the autonomous vehicle from sensor data received by the autonomous vehicle. Responsive to this detection, the perception engine may determine feature values of the environment of the vehicle from sensor data (e.g., features of the stationary vehicle, other object(s), the environment itself). The autonomous vehicle may input these feature values into a machine-learning model to determine a probability that the stationary vehicle is a blocking vehicle and use the probability to generate a trajectory to control motion of the autonomous vehicle.