公开(公告)号：US12130153B2

公开(公告)日：2024-10-29

申请号：US17606296

申请日：2019-04-23

Applicant: Google LLC ,  Yan Mayster ,  Brian Shucker

Inventor： Yan Mayster ,  Brian Shucker

IPC: G01C21/00 ,  B60W40/06 ,  B60W40/076 ,  B60W50/14 ,  G01S7/48 ,  G06V10/80 ,  G06V20/56

CPC classification number: G01C21/3807 ,  B60W40/06 ,  B60W40/076 ,  G01S7/4802 ,  G06V10/80 ,  G06V20/588 ,  B60W50/14 ,  B60W2420/403 ,  B60W2420/408 ,  B60W2510/222 ,  B60W2530/201 ,  B60W2552/15 ,  B60W2552/35 ,  B60W2552/45 ,  B60W2555/20 ,  B60W2556/40 ,  B60W2710/18 ,  B60W2710/20

Abstract: Provided are methods, systems, devices, and tangible non-transitory computer readable media for mapping geographical surfaces. The disclosed technology can access image data and sensor data. The image data can include a plurality of images of one or more locations and semantic information associated with the one or more locations. The sensor data can include sensor information associated with detection of one or more surfaces at the one or more locations by one or more sensors. One or more irregular surfaces can be detected based at least in part on the image data and the sensor data. The one or more irregular surfaces can include the one or more surfaces associated with the image data and the sensor data that satisfies one or more irregular surface criteria at each of the one or more locations respectively. Map data including information associated with the one or more irregular surfaces can be generated.

公开(公告)号：US20240355129A1

公开(公告)日：2024-10-24

申请号：US18380009

申请日：2023-10-13

Applicant: HL Klemove Corp.

Inventor： Eunsan JO ,  Jun-Hyung CHA

IPC: G06V20/56 ,  B60W40/072 ,  B60W50/14 ,  G06V20/58

CPC classification number: G06V20/588 ,  B60W40/072 ,  B60W50/14 ,  G06V20/582 ,  B60W2552/30 ,  B60W2552/53 ,  B60W2555/60 ,  B60W2556/10 ,  B60W2556/20

Abstract: A method for correcting lane recognition information using road traffic sign recognition information, and an apparatus for performing the method according to various exemplary embodiments of the present disclosure verify a validity of lane recognition information based on lane recognition information and independent road traffic sign recognition information, and correct the lane recognition information when the lane recognition information is information which is not valid, thereby enhancing lane recognition performance used for various advanced driver assistance systems (ADAS) functions.

公开(公告)号：US12125289B2

公开(公告)日：2024-10-22

申请号：US17776641

申请日：2019-11-15

Applicant: ZENUITY AB

Inventor： Robert Krutsch

IPC: G06V20/56 ,  B60W30/16 ,  B60W30/18 ,  B60W40/06 ,  B60W40/105 ,  G06V10/44 ,  G06V10/82

CPC classification number: G06V20/56 ,  B60W30/16 ,  B60W30/18109 ,  B60W40/06 ,  B60W40/105 ,  G06V10/454 ,  G06V10/82 ,  G06V20/588 ,  B60W2420/403 ,  B60W2420/408 ,  B60W2530/20 ,  B60W2552/05 ,  B60W2554/402 ,  B60W2554/80 ,  B60W2555/20

Abstract: A method for evaluating a minimum braking distance of a vehicle, in particular a car. The method comprises the step of obtaining at least one image in a movement direction of the vehicle associated substantially with an actual location of vehicle. A first road type indication from the at least one image is determined by a trained neural network architecture. Second road type indication associated with the actual location of the car are obtained from a database and compared with the first road type indication. If the second road type indication supports the determined first road type indication, an adjustment parameter associated with one of the at least first and second road type indication is selected. If second road type indication does not support the determined first road type indication, a default adjustment parameter as adjustment parameter is selected. Finally, a minimum braking distance using the adjustment parameter is set.

公开(公告)号：US12125231B2

公开(公告)日：2024-10-22

申请号：US17579716

申请日：2022-01-20

Applicant: Mobileye Vision Technologies Ltd.

Inventor： Ishay Golinsky ,  Iddo Hanniel ,  Moshe Shenfeld ,  Yael Hacohen

IPC: G06T7/70 ,  G01C21/00 ,  G01C21/16 ,  G01C21/32 ,  G01C21/36 ,  G05D1/00 ,  G05D1/249 ,  G06V10/772 ,  G06V20/56 ,  G06V20/58 ,  G08G1/16

CPC classification number: G06T7/70 ,  G01C21/005 ,  G01C21/16 ,  G01C21/32 ,  G01C21/3658 ,  G01C21/3837 ,  G01C21/3844 ,  G05D1/0246 ,  G05D1/249 ,  G06V10/772 ,  G06V20/584 ,  G06V20/588 ,  G08G1/167 ,  G06T2207/30244 ,  G06T2207/30261

Abstract: Systems and methods are provided for navigating a host vehicle. In an embodiment, a processing device may be configured to receive at least one image captured by an image capture device, the at least one image being representative of an enviromnent of the host vehicle; analyze the at least one image to identify an object in the environment of the host vehicle; determine a location of the host vehicle; receive map information associated with the determined location of the host vehicle, wherein the map information includes lane width information associated with a road in the environment of the host vehicle; determine a distance from the host vehicle to the object based on at least the lane width information; and determine a navigational action for the host vehicle based on the determined distance.

公开(公告)号：US12118806B2

公开(公告)日：2024-10-15

申请号：US17659508

申请日：2022-04-18

Applicant: MAGNA ELECTRONICS INC.

Inventor： Michael J. Higgins-Luthman

IPC: B60Q9/00 ,  B60R1/12 ,  B60R1/23 ,  B60W40/04 ,  B60W50/14 ,  G06V20/56 ,  G06V20/58 ,  H04N7/18 ,  H04N23/80 ,  H04N25/76

CPC classification number: G06V20/588 ,  B60Q9/008 ,  B60R1/12 ,  B60R1/23 ,  B60W40/04 ,  G06V20/58 ,  G06V20/584 ,  H04N7/18 ,  H04N7/181 ,  H04N23/80 ,  H04N25/76 ,  B60R2001/1253 ,  B60R2300/105 ,  B60R2300/30 ,  B60R2300/402 ,  B60R2300/802 ,  B60R2300/804 ,  B60R2300/806 ,  B60R2300/8066 ,  B60W50/14

Abstract: A vehicular imaging system includes a camera operable to capture image data. The camera is configured for attachment at an upper windshield area of an in-cabin side of a windshield of a vehicle. An image processor is operable for processing image data captured by the camera. Captured image data is processed by the image processor for a collision avoidance system of the equipped vehicle. Captured image data is processed by the image processor for a lane departure warning system of the equipped vehicle. Responsive at least in part to processing by the image processor of captured image data, shadows viewed by the camera are detected. The vehicular imaging system determines misalignment of the camera responsive at least in part to processing by the image processor of captured image data.

公开(公告)号：US12118805B2

公开(公告)日：2024-10-15

申请号：US17652256

申请日：2022-02-23

Applicant: Beijing Tusen Zhitu Technology Co., Ltd.

Inventor： Zhenwei Shen ,  Zehao Huang ,  Naiyan Wang

IPC: G06K9/00 ,  G06V10/44 ,  G06V10/774 ,  G06V10/82 ,  G06V20/56

CPC classification number: G06V20/588 ,  G06V10/443 ,  G06V10/774 ,  G06V10/82

Abstract: The present application relates to a method and an apparatus for detecting corner points of a lane line, an electronic device and a storage medium. The method comprises: obtaining a road image to be detected; inputting the road image into a pre-trained neural network model to obtain a heat map prediction result, wherein the heat map prediction result comprises a probability of each pixel belonging to a specific corner point category; determining a plurality of different categories of corner points in the road image according to the probability of each pixel belonging to a specific corner point category in the heat map prediction result; and grouping the plurality of different categories of corner points according to a predetermined rule to obtain at least one corner point group. The present application can solve the problem that the corner points of the lane lines cannot be accurately and quickly detected.

公开(公告)号：US12117553B2

公开(公告)日：2024-10-15

申请号：US18191035

申请日：2023-03-28

Applicant: Innoviz Technologies Ltd.

Inventor： Amir Day ,  Guy Zohar ,  Julian Vlaiko ,  Nir Osiroff ,  Ovadya Menadeva

IPC: G01S7/02 ,  A01C5/04 ,  G01S7/48 ,  G01S7/481 ,  G01S17/04 ,  G01S17/58 ,  G01S17/89 ,  G01S17/894 ,  G01S17/931 ,  G06F18/24 ,  G06F18/25 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60 ,  G06V10/75 ,  G06V10/82 ,  G06V20/56 ,  G06V20/58 ,  G06V20/62

CPC classification number: G01S7/026 ,  A01C5/04 ,  G01S7/4808 ,  G01S7/4817 ,  G01S17/04 ,  G01S17/58 ,  G01S17/89 ,  G01S17/894 ,  G01S17/931 ,  G06F18/24 ,  G06F18/256 ,  G06T7/70 ,  G06V10/141 ,  G06V10/60 ,  G06V10/751 ,  G06V10/82 ,  G06V20/56 ,  G06V20/58 ,  G06V20/588 ,  B60W2420/403 ,  G06T2207/30256 ,  G06V20/625

Abstract: A vehicle-assistance system for classifying objects in a vehicle's surroundings. The system includes: at least one memory configured to store classification information for classifying a plurality of objects; and at least one processor configured to receive a plurality of detection results associated with light detection and ranging system (LIDAR) detection results, each detection result including location information, and further information indicative of at least two of the following detection characteristics: object surface reflectivity; temporal spreading of signal reflected from the object; object surface physical composition; ambient illumination measured at a LIDAR dead time; difference in detection information from a previous frame; and confidence level associated with another detection characteristic. The at least one processor is also configured to: access the classification information; and based on the classification information and the detection results, classify an object in the vehicle's surroundings.

公开(公告)号：US20240339034A1

公开(公告)日：2024-10-10

申请号：US18625396

申请日：2024-04-03

Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA

Inventor： Masahiro TAKAHASHI

IPC: G08G1/16 ,  G01S13/86 ,  G01S13/931 ,  G06V20/56 ,  G06V20/58

CPC classification number: G08G1/166 ,  G01S13/867 ,  G01S13/931 ,  G06V20/58 ,  G06V20/588

Abstract: The driving assistance device 1 controls the notification device 30 to issue a predetermined alert to the occupants of the own vehicle if, at a first point in time, it detects the existence of a first driving lane L1 adjacent to the lane L0 in which the own vehicle is traveling, and no stationary object is present in a predetermined area R[n+10] located ahead of the own vehicle in that first driving lane L1, and then, at a second point in time after the first point in time, when the own vehicle is positioned on the side of this predetermined area, it detects the presence of a solid object OB within said area and that the distance Δd between this solid object OB and the own vehicle is less than a threshold.

公开(公告)号：US20240338954A1

公开(公告)日：2024-10-10

申请号：US18294087

申请日：2022-07-26

Applicant: Robert Bosch GmbH

Inventor： Peter Pozsegovics

IPC: G06V20/56 ,  G01S13/88 ,  G01S13/89 ,  G06T3/047

CPC classification number: G06V20/588 ,  G01S13/882 ,  G01S13/89 ,  G06T3/047

Abstract: A method for identifying edges of curbs in an environment of a mobile platform. The method includes: providing at least one optical image of the environment of the mobile platform; determining linear structures in the at least one optical image; providing a topographic profile of a ground surface of the environment of the mobile platform; projecting the linear structures into the topographic profile of the ground surface; verifying the edges of curbs by examining, on both sides of the projected linear structures, the topographic profile for altitude jumps corresponding to a curb structure; connecting the verified altitude jumps in order to identify the edges of the curbs.

公开(公告)号：US20240338951A1

公开(公告)日：2024-10-10

申请号：US18590925

申请日：2024-02-28

Applicant: PlusAI, Inc.

Inventor： Inderjot Singh SAGGU

IPC: G06V20/58 ,  B60W60/00 ,  G06V10/26 ,  G06V10/774 ,  G06V20/56

CPC classification number: G06V20/58 ,  B60W60/001 ,  G06V10/267 ,  G06V10/273 ,  G06V10/774 ,  G06V20/588 ,  B60W2420/403

Abstract: This application is directed to generic obstacle detection for at least partially autonomous vehicle driving. A first vehicle obtains a road image. The road image includes a road surface along which the first vehicle is travelling. The first vehicle identifies one or more identifiable objects on the road surface in the road image. The first vehicle detects a plurality of objects on the road surface in the road image. The first vehicle eliminates the one or more identifiable objects from the plurality of objects in the road image to determine one or more unidentifiable objects on the road surface in the road image. The first vehicle at least partially autonomously drives the first vehicle by treating the one or more unidentifiable objects differently from the one or more identifiable objects.