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公开(公告)号:US20230382429A1
公开(公告)日:2023-11-30
申请号:US18250902
申请日:2021-10-22
Applicant: Bayerische Motoren Werke Aktiengesellschaft
Inventor: Wolfgang HEMPEL , Martin LIEBNER
CPC classification number: B60W60/0027 , B60W30/18163 , G01C21/3822
Abstract: The invention relates to systems, methods and devices that detect a bypass lane at a junction with at least one traffic light system and control automated longitudinal guidance functions of a motor vehicle based thereon. The driving data of a motor vehicle at the junction is utilized to determine a possible driving trajectory of vehicles at the junction and arrangement information reflecting an arrangement of the traffic light system relative to the possible driving trajectory. The bypass lane of the junction is detected based on the arrangement information, the automated longitudinal guidance functions of the motor vehicle are adjusted based on the bypass lane detection.
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公开(公告)号:US11810364B2
公开(公告)日:2023-11-07
申请号:US16989743
申请日:2020-08-10
Applicant: Volvo Car Corporation
IPC: G06K9/00 , G01N21/88 , B60W40/06 , B60W30/18 , B60W50/14 , B60W30/02 , G01C21/00 , G06T7/11 , G06V20/58 , G01S17/931 , B60G17/0165 , E01C23/01 , G06N3/02 , G06F18/2415
CPC classification number: G06V20/58 , B60G17/0165 , B60W30/02 , B60W30/18163 , B60W40/06 , B60W50/14 , E01C23/01 , G01C21/3822 , G01N21/8806 , G01S17/931 , G06F18/24155 , G06N3/02 , G06T7/11 , B60G2800/162 , B60W2050/146 , B60W2420/42 , B60W2420/52 , B60W2552/00 , G06T2207/10028 , G06T2207/20076 , G06T2207/20081 , G06T2207/20084 , G06T2207/30261
Abstract: A vehicle safety system and technique are described. In one example, a vehicle safety system communicably coupled to a vehicle, comprises processing circuitry coupled to a camera unit and a LiDAR sensor, the processing circuitry to execute logic operative to analyze an image captured by one or more cameras to identify predicted regions of road damage, correlate LiDAR sensor data with the predicted regions of road damage, analyze the LiDAR sensor data correlated with the predicted regions of road damage to identify regions of road damage in three-dimensional space; and output one or more indications of the identified regions of road damage, wherein the processing circuitry is coupled to an interface to the vehicle, the processing circuitry to output an identification of road damage.
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公开(公告)号:US20230332911A1
公开(公告)日:2023-10-19
申请号:US17724254
申请日:2022-04-19
Applicant: HERE GLOBAL B.V.
Inventor: Amarnath NAYAK , Leon STENNETH , Alex AVERBUCH
CPC classification number: G01C21/3602 , G01C21/3822 , G01C21/3833 , G06V20/582
Abstract: A method, apparatus, and user interface for providing a roadworks location detection system is disclosed. For example, image data of at least one roadworks sign may be obtained and a location for the roadworks project may be determined based on the obtained image data. One or more road segments may then be identified, and the determined roadworks location associated with the one or more identified road segments to update a map layer of a geographic database and/or perform other actions.
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公开(公告)号:US20230314170A1
公开(公告)日:2023-10-05
申请号:US18184132
申请日:2023-03-15
Applicant: Robert Bosch GmbH
Inventor: Ming Gao , Andreas Schmitt , Oliver Roeth
CPC classification number: G01C21/3859 , G06F16/29 , G01C21/3822
Abstract: A method for creating map data having lane-specific resolution. Mapping data are initially received, the mapping data being transmitted by a vehicle, and including a vehicle trajectory and at least one object feature. Once the mapping data has been received, it is checked whether map data for local surroundings of the received mapping data are present. In the event the check indicates that no map data are present, map data are created from the mapping data and stored in a memory. In the event the check indicates that map data are already present, the map data are compared with the mapping data. If this comparison reveals that the mapping data differ from the map data, the map data are adapted, the adaptation taking place on the basis of a weighting factor. The adapted map data are subsequently stored in the memory.
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公开(公告)号:US11774251B2
公开(公告)日:2023-10-03
申请号:US16554515
申请日:2019-08-28
Applicant: Mobileye Vision Technologies Ltd.
Inventor: Amnon Shashua , Shai Shalev-Shwartz
IPC: G05D1/00 , G06F16/29 , G06F16/23 , G06V20/56 , G06V20/62 , G06V20/58 , G01C21/00 , G01C21/16 , B60W30/18 , G01C21/14 , G05D1/02 , G08G1/0967 , B62D15/02 , G08G1/0962 , G08G1/16 , G01C21/34 , G01C21/36 , G08G1/01 , B60W30/14 , G08G1/0968 , H04L67/12 , G06T7/00 , G01S19/10
CPC classification number: G05D1/0088 , B60W30/14 , B60W30/18 , B62D15/025 , G01C21/14 , G01C21/1652 , G01C21/1656 , G01C21/34 , G01C21/3407 , G01C21/3476 , G01C21/36 , G01C21/3602 , G01C21/3623 , G01C21/3644 , G01C21/3691 , G01C21/3896 , G05D1/0212 , G05D1/0219 , G05D1/0221 , G05D1/0246 , G05D1/0251 , G05D1/0253 , G05D1/0278 , G05D1/0287 , G06F16/2379 , G06F16/29 , G06V20/56 , G06V20/582 , G06V20/584 , G06V20/588 , G06V20/63 , G08G1/0112 , G08G1/09623 , G08G1/096725 , G08G1/096805 , G08G1/167 , B60W2420/42 , B60W2555/60 , B60W2710/18 , B60W2710/20 , B60W2720/10 , G01C21/3811 , G01C21/3819 , G01C21/3822 , G01S19/10 , G05D2201/0213 , G06T7/00 , G06T2207/20081 , G06T2207/30256 , G06T2207/30261 , H04L67/12
Abstract: Systems and methods are disclosed for identifying landmarks. A method for identifying a landmark may include initiating identification of a landmark based on one or more images from a camera, for use in autonomous vehicle navigation, the landmark including a traffic sign; initiating updating a road model with a location of the landmark; and initiating distribution of the road model with the location of the traffic sign to a plurality of autonomous vehicles.
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公开(公告)号:US11747166B2
公开(公告)日:2023-09-05
申请号:US17258331
申请日:2018-07-11
Applicant: Nissan Motor Co., Ltd. , Renault S.A.S.
Inventor: Susumu Fujita
CPC classification number: G01C21/3822 , B60W40/06 , G01C21/3885 , G06V20/588 , B60W2552/10 , B60W2556/10
Abstract: A processor operates to: acquire first information regarding a surrounding travel environment including a travel lane in which a subject vehicle travels, on the basis of detection information from an onboard sensor; refer to map information stored in a storage device to acquire second information regarding lanes of a road; determine whether or not a travel road to which the travel lane belongs is a predetermined specific road, on the basis of the first information; and when a determination is made that the travel road is the specific road, composite the first information and the second information to generate travel environment information.
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公开(公告)号:US20230221137A1
公开(公告)日:2023-07-13
申请号:US18150592
申请日:2023-01-05
Applicant: 4M Analytics Ltd
Inventor: Itzik MALKA , Yoav COHEN , Nir COHEN , Dror STEINMETZ , Ayal GREEN , Harel DAN , Ophir WAINER
CPC classification number: G01C21/3826 , G06V20/182 , G06V20/194 , G01C21/3822
Abstract: There is provided a digital map product comprising data informative of a location of a zone in a surface area including a subsurface utility infrastructure (SUI), the digital map product being derivative of a method comprising: receiving a digital image of the surface area; identifying a plurality of surface features; for each of the plurality of surface features: calculating an indication of utility location (IUL) from the respective surface feature and location, wherein the IUL is one of: a location of a point of the SUI, a location of a zone of the SUI, a location of a zone from which the SUI is absent, thereby giving rise of a plurality of IULs; and defining a location of a zone including the SUI in accordance with, at least, the plurality of IULs wherein at least one surface feature of the plurality of surface features is a public works surface marking.
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公开(公告)号:US11681297B2
公开(公告)日:2023-06-20
申请号:US17190049
申请日:2021-03-02
Inventor: Yuki Ueda , Takashi Uno , Daniel D'Souza , Joseph Auchter
CPC classification number: G05D1/0231 , B60W40/06 , B60W60/001 , G01C21/3822 , G05D1/0274 , G06T7/74 , B60W2420/42 , G06T2207/30252
Abstract: An autonomous vehicle includes first and second road surface image obtaining devices that are located on a bottom surface of the vehicle body and obtain images of a road surface below the vehicle body, respectively. The autonomous vehicle also includes a memory unit that stores a map image of the road surface, the map image being associated with geographical location information. The autonomous vehicle further includes first and second self-location estimating units that each compare a feature extracted from the image of the road surface obtained by corresponding one of the first and second road surface image obtaining devices with a feature extracted from the map image, thereby estimating a self-location of the autonomous vehicle.
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公开(公告)号:US11674812B2
公开(公告)日:2023-06-13
申请号:US16428751
申请日:2019-05-31
Applicant: Lyft, Inc.
CPC classification number: G01C21/3453 , G01C21/3822 , G05D1/0221 , G01S15/89 , G05D1/0227
Abstract: Systems, methods, and non-transitory computer-readable media can determine at least one potential route for navigating a vehicle within a geographic region. A score that measures a comfort level associated with the potential route can be determined, wherein the score is determined based on at least one sensor map that segments the geographic region into a grid of cells, and wherein the comfort level for the potential route is determined based at least in part on cells through which the vehicle travels while navigating along the potential route. A determination is made whether to use the potential route for navigating the vehicle based at least in part on the score.
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公开(公告)号:US20230177951A1
公开(公告)日:2023-06-08
申请号:US17543229
申请日:2021-12-06
Applicant: HERE Global B.V.
Inventor: Omer MUBAREK , Colin WATTS-FITZGERALD
CPC classification number: G08G1/0133 , G01C21/3822 , G01C21/3841 , G08G1/0112 , G08G1/0141
Abstract: An approach is provided for verifying reported ramp closures. The approach involves, for example, processing a ramp closure report to determine reported ramp link(s) associated with the ramp closure report. The approach also involves constructing a ramp network comprising the reported ramp link(s) and other ramp link(s) connected to the reported ramp link(s). The approach further involves collecting probe data collected from one or more sensors of one or more vehicles traveling within the ramp network. The approach further involves identifying one or more driving patterns based on one or more vehicle paths determined from the probe data. The approach further involves performing a verification of a closure status of the reported ramp link(s) based on the one or more driving patterns. The approach further involves providing the verification of the closure status as an output.
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