公开(公告)号：US20240153387A1

公开(公告)日：2024-05-09

申请号：US18462911

申请日：2023-09-07

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Hiroya CHIBA

IPC: G08G1/14 ,  G06V20/54

CPC classification number: G08G1/148 ,  G06V20/54 ,  G06V2201/08

Abstract: A parking lot includes a plurality of parking spaces monitored by a single camera. A parking lot management method for managing the parking lot includes a parking space allocation process that allocates an available parking space having a highest entry priority among the plurality of parking spaces to an entry vehicle entering the parking lot. The plurality of parking spaces include a first parking space and a second parking space that is closer to an installation position of the single camera than the first parking space is. An entry priority of the first parking space is higher than an entry priority of the second parking space.

公开(公告)号：US20240142609A1

公开(公告)日：2024-05-02

申请号：US18394544

申请日：2023-12-22

Applicant: INTEGRITY COMMUNICATIONS SOLUTIONS, INC.

Inventor： Stefan Josef Liller ,  David Williams ,  Thomas Cloud ,  Clark Phillip Mourning ,  Michael Lenn Tipton

IPC: G01S13/86 ,  G01S13/89 ,  G06T7/246 ,  G06T7/33 ,  G06T7/73 ,  G06V10/764 ,  G06V20/54 ,  G08G1/07

CPC classification number: G01S13/867 ,  G01S13/89 ,  G06T7/248 ,  G06T7/337 ,  G06T7/74 ,  G06V10/764 ,  G06V20/54 ,  G08G1/07 ,  G06T2207/10016 ,  G06T2207/10028 ,  G06T2207/20081 ,  G06T2207/30236 ,  G06T2207/30242 ,  G06V2201/08

Abstract: Embodiments of the disclosure are drawn to apparatuses, systems, and methods for radar object classification. A radar classification system may include a number of endpoint units and a base station. Each endpoint unit includes a camera and a radar. The camera may image a scene and the image may be used to establish spatial zones within the scene. The radar may collect point cloud data from one or more objects in the scene. A classifier may determine an identity of the object based on the point cloud data. The base station may collect information such as the identity and location of objects in the scene and relate this information to the spatial zones. For example, objects may be identified as a vehicle, pedestrian, or cycle, and related to zones such as roadway, sidewalk, and crosswalk for the purpose of traffic control.

公开(公告)号：US20240125614A1

公开(公告)日：2024-04-18

申请号：US18046220

申请日：2022-10-13

Applicant: GM Global Technology Operations LLC

Inventor： Mohamed A. Layouni ,  Markus Jochim

IPC: G01C21/36 ,  B60R1/26 ,  G06T7/60 ,  G06V20/56 ,  G06V20/58

CPC classification number: G01C21/3685 ,  B60R1/26 ,  G01C21/3602 ,  G01C21/3647 ,  G06T7/60 ,  G06V20/58 ,  G06V20/588 ,  G06T2207/30256 ,  G06T2207/30261 ,  G06V10/70 ,  G06V2201/08

Abstract: A parking system for a vehicle including a braking system, including one or more cameras capturing image data representative of an environment surrounding the vehicle, and a display located within an interior cabin of the vehicle. The display shows image data representative of the environment surrounding the vehicle. The parking system also includes one or more controllers in electronic communication with the one or more cameras and the display. The one or more controllers execute instructions to determine the user is about to execute a parking maneuver based on the image data collected by the one or more cameras. In response to determining the user is about to execute the parking maneuver, the one or more controllers instruct the display to show the image data representative of the environment surrounding the vehicle.

公开(公告)号：US11958424B2

公开(公告)日：2024-04-16

申请号：US17302511

申请日：2021-05-05

Applicant: Magna Electronics Inc.

Inventor： Eser Ustunel

IPC: B60R21/0134 ,  B60R21/01 ,  G01S13/86 ,  G01S13/931 ,  G06F18/24 ,  G06T7/20 ,  G06T7/70 ,  G06V20/58 ,  G06V40/10

CPC classification number: B60R21/0134 ,  G06F18/24 ,  G06T7/20 ,  G06T7/70 ,  G06V20/58 ,  G06V40/103 ,  B60R2021/01218 ,  B60R2021/01345 ,  G01S13/867 ,  G01S13/931 ,  G01S2013/9323 ,  G01S2013/9324 ,  G06T2207/30196 ,  G06T2207/30261 ,  G06V2201/08

Abstract: A vehicular safety feature control system includes a camera disposed at a vehicle that views exterior of the equipped vehicle. The vehicular safety feature control system includes an electronic control unit (ECU) for processing image data captured by the camera to detect presence of objects. The ECU, responsive to processing of image data captured by the camera, detects an object on a collision course with the equipped vehicle. The ECU, responsive to detecting the object on the collision course with the equipped vehicle, classifies the detected object. The ECU estimates a mass of the detected object based on the classification. The ECU estimates a kinetic energy of a potential collision and, based on the estimated kinetic energy of the potential collision, estimates a severity of the potential collision. The ECU controls a safety feature of the equipped vehicle based on the estimated severity of the potential collision.

公开(公告)号：US20240119837A1

公开(公告)日：2024-04-11

申请号：US18371489

申请日：2023-09-22

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Hiroya CHIBA

IPC: G08G1/14 ,  G06V20/52

CPC classification number: G08G1/148 ,  G06V20/52 ,  G06V2201/07 ,  G06V2201/08

Abstract: A parking lot includes: a plurality of parking spaces arranged in series in a first direction; a camera configured to take a picture of the plurality of parking spaces; and a recognition target provided in each of the plurality of parking spaces. A usage status of each parking space is determined based on a result of recognition of the recognition target by the camera. Each parking space includes a first parking space line and a second parking space line. The first parking space line is located closer to the camera than the second parking space line is in the first direction. The recognition target is arranged to be decentered from a center line between the first parking space line and the second parking space line toward a region on a side of the second parking space line.

公开(公告)号：US20240119621A1

公开(公告)日：2024-04-11

申请号：US18374017

申请日：2023-09-28

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Hiroya Chiba ,  Koji Morita ,  Yuhei Oka ,  Daisuke Kakuma

IPC: G06T7/70 ,  G06T7/80 ,  G06V20/54 ,  G08G1/0967

CPC classification number: G06T7/70 ,  G06T7/80 ,  G06V20/54 ,  G08G1/096725 ,  G06T2207/30204 ,  G06T2207/30232 ,  G06T2207/30244 ,  G06V2201/08

Abstract: The present disclosure provides a system for supporting a movement of a moving body in a predetermined area. The system acquires an image captured by an infrastructure camera such that the image includes a plurality of markers arranged in the predetermined area. The system compares the image acquired this time and the image acquired previous time. The system detects a position change marker among the plurality of markers whose position in the image acquired previous time changes from that in the image acquired this time. The system determines that the infrastructure camera is out of position when it is detected that number of the position change marker is equal to or more than a predetermined number. The system determines that the infrastructure camera is not out of position when it is detected that number of the position change marker is less than the predetermined number.

公开(公告)号：US20240112570A1

公开(公告)日：2024-04-04

申请号：US17936854

申请日：2022-09-30

Applicant: HONDA MOTOR CO., LTD. ,  Honda Research Institute Europe GmbH

Inventor： Akihito KIMATA ,  Izumi KONDO ,  Tim PUPHAL ,  Naohiro SAKAMOTO ,  Masaki OKUMOTO ,  Ryohei HIRANO

IPC: G08G1/01 ,  G06V10/774 ,  G06V20/54 ,  G06V20/58 ,  G06V20/59

CPC classification number: G08G1/0133 ,  G06V10/774 ,  G06V20/54 ,  G06V20/58 ,  G06V20/597 ,  G06V2201/08

Abstract: A predictor 62 predicts a future of a prediction target in a traffic area. The predictor 62 includes a movement state information acquirer 620 configured to acquire movement state information, a surrounding state information acquirer 621 configured to acquire surrounding state information, a traffic environment information acquirer 622 configured to acquire traffic environment information, a driver state information acquirer 623 configured to acquire driver state information, a traffic scene specifier 624 configured to specify a traffic scene on the basis of the movement state information, the surrounding state information, and the traffic environment information, an action pattern selector 625 configured to select, as a predicted action pattern, at least one from among a plurality of predetermined action patterns on the basis of the traffic scene and the driver state information, and an action predictor 626 configured to predict future action on the basis of the predicted action pattern.

公开(公告)号：US20240111803A1

公开(公告)日：2024-04-04

申请号：US18473690

申请日：2023-09-25

Applicant: Panasonic Automotive Systems Company of America, Division of Panasonic Corporation of North America

Inventor： NIKSHEP PATIL ,  SATPREET SINGH

IPC: G06F16/583 ,  G06V10/70 ,  G06V20/62

CPC classification number: G06F16/583 ,  G06V10/70 ,  G06V20/625 ,  G06V2201/08

Abstract: Examples of the present disclosure relate to a system for detecting target vehicles. The system includes a sensor installed on a vehicle to sense light from outside the vehicle. The system includes a transceiver installed in the vehicle. The transceiver is to receive a detection request and transmit a detection output. The system includes a detection system installed in the vehicle. The detection system includes a processor to receive the detection request from the transceiver. The detection request includes non-standard features. The processor can also receive an image from a sensor. The processor can further execute a search on the image using the non-standard features in response to receiving the detection request. The processor can also send the detection output corresponding to a detected target vehicle to the transceiver.

公开(公告)号：US11948366B2

公开(公告)日：2024-04-02

申请号：US17720091

申请日：2022-04-13

Applicant: NEOLOGY, INC.

Inventor： Peter Crary ,  Peter Istenes ,  Dave Bynum ,  Israel Padilla

IPC: G06K9/00 ,  G06V20/40 ,  G06V20/54 ,  G06V20/56 ,  G06V20/62 ,  G06V30/10

CPC classification number: G06V20/54 ,  G06V20/46 ,  G06V20/56 ,  G06V20/625 ,  G06V30/10 ,  G06V2201/08

Abstract: Embodiments herein provide various systems and methods for automated classification of vehicle reads to build vehicle identification profile and for automated vehicle identification using content extracted from an image frame of a vehicle to identify a most probable vehicle identification profile. An example method comprises capturing, by a camera, a read comprising an image frame including a portion of a vehicle; identifying at least one of a license plate number and a descriptor of the vehicle using image processing on the read; determining a probability value that the read includes the vehicle based on the identified at least one of the license plate number and the descriptor; when the probability value exceeds a threshold value, identifying a vehicle identification profile in a database using the identified at least one of the license plate number and the descriptor; and updating the vehicle identification profile to include the captured read.

公开(公告)号：US20240105054A1

公开(公告)日：2024-03-28

申请号：US18531027

申请日：2023-12-06

Applicant: Panasonic Intellectual Property Management Co., Ltd.

Inventor： Hirokazu KAWAMOTO ,  Masayuki KIKKAWA ,  Takumi TANABE ,  Takayasu BABA

IPC: G08G1/01 ,  G06Q30/0207 ,  G06Q50/26 ,  G06V20/54

CPC classification number: G08G1/0133 ,  G06Q30/0207 ,  G06Q50/26 ,  G06V20/54 ,  G08G1/0141 ,  G06V2201/07 ,  G06V2201/08

Abstract: An information processing device according to an embodiment of the present disclosure includes a memory and a processor coupled to the memory. The processor is configured to: notify a user of survey demand information for indicating a survey demand point included in a survey demand region that has a survey demand regarding the traffic volume; receive a captured image captured at the survey demand point by the user in accordance with the survey demand information; and estimate a traffic volume in the survey demand region based on the captured image that has been received.