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公开(公告)号：US20240361430A1
公开(公告)日：2024-10-31
申请号：US18768646
申请日：2024-07-10
Applicant: Waymo LLC
Inventor： Michael Fina
CPC classification number: G01S7/412 , B60W30/09 , B60W30/18163 , B60W60/0016 , G01C21/3844 , G01S13/931 , B60W2420/408 , G01S2013/9318 , G01S2013/9322
Abstract: Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.
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公开(公告)号：US20240326857A1
公开(公告)日：2024-10-03
申请号：US18512943
申请日：2023-11-17
Applicant: Hyundai Motor Company , Kia Corporation
Inventor： Jeong Min Cho
IPC: B60W50/16 , B60K35/00 , B60W30/095 , B60W40/08 , B60W60/00
CPC classification number: B60W50/16 , B60K35/00 , B60W30/0956 , B60W40/08 , B60W60/0016 , B60K35/10 , B60K35/23 , B60K35/28 , B60K35/29 , B60K35/60 , B60K2360/149 , B60K2360/177 , B60K2360/178 , B60K2360/1868 , B60K2360/188 , B60K2360/334 , B60K2360/785 , B60W2050/143 , B60W2050/146 , B60W2540/225 , B60W2540/227
Abstract: An embodiment of a smart notification device for a vehicle configured for autonomous driving, includes an occupant recognition unit configured to sense occupant state information of an occupant in the vehicle, a vehicle recognition unit configured to sense vehicle state information and driving information of the vehicle, a memory storing code, and a processor configured to access the memory and execute the code. The code can include instructions for the processor to collect the occupant state information, the vehicle state information, and the driving information, set a risk of collision based on the collected information, determine the set risk of collision based on a preset risk level, and generate a risk object corresponding the risk of collision. The device of an embodiment includes an augmented reality graphics system configured to project the risk object onto a glass of the vehicle based on a determination result obtained by the determining.
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公开(公告)号：US20240318969A1
公开(公告)日：2024-09-26
申请号：US18269876
申请日：2022-03-16
Applicant: AISIN CORPORATION
Inventor： Mitsuhiro NIMURA , Hidenori NAGASAKA , Keita OGAWA
CPC classification number: G01C21/3492 , B60W30/09 , B60W60/0016 , B60W2552/53 , B60W2554/80 , B60W2556/40
Abstract: There are provided a driving assistance device and a computer program that provide appropriate driving assistance that does not place a burden on a passenger of a vehicle when an obstacle which becomes a factor that hinders travel of the vehicle is present on a planned travel route of the vehicle. Specifically, when an obstacle which becomes a factor that hinders travel of a vehicle is present on a planned travel route of the vehicle, a cost indicating a burden on a passenger is calculated for a plurality of candidates for avoidance operation for avoiding the obstacle, avoidance operation recommended to avoid the obstacle is selected from among the plurality of candidates for avoidance operation by comparing the calculated costs, a travel path recommended for the vehicle to travel along is generated in accordance with the selected avoidance operation, and driving assistance for the vehicle is provided based on the generated travel path.
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4.发明公开公开(公告)号：US20240317264A1
公开(公告)日：2024-09-26
申请号：US18591594
申请日：2024-02-29
Applicant: TOYOTA JIDOSHA KABUSHIKI KAISHA , DENSO CORPORATION
Inventor： Jiro FUJINO , Kenichiroh HARA , Satoru KAWAKAMI , Hiroshi MORIMOTO , Kenta YAMADA
CPC classification number: B60W60/0016 , B60W50/14 , G06V20/58 , G06V20/597 , B60W2420/403 , B60W2540/225
Abstract: A driver monitoring device has a processor which acquires surrounding vehicle information, surrounding road environment information and driver line-of-sight direction information, performs autonomous driving or driving assistance of a host vehicle based on the surrounding vehicle information and the surrounding road environment information, determines whether the driver's visual recognition in a direction of travel of the host vehicle is sufficient, alerts the driver when the driver's visual recognition in the direction of travel of the host vehicle is not sufficient, changes non-visual recognition determination criterion used for determining that the driver's visual recognition in the direction of travel of the host vehicle is not sufficient; and changes the non-visual recognition determination criterion so that the greater the number of the stopped or decelerating surrounding vehicles in the surrounding region, the easier it becomes to be determined that the driver's visual recognition is not sufficient.
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公开(公告)号：US12097884B2
公开(公告)日：2024-09-24
申请号：US17423100
申请日：2020-05-15
Inventor： Yanqiang Li , Hongyun Chen
IPC: B60W60/00
CPC classification number: B60W60/0017 , B60W60/0016 , B60W2554/4041 , B60W2554/4045 , B60W2554/4049
Abstract: The present invention provides an autonomous vehicle lane change monitoring method and lane change monitoring system, wherein the lane change monitoring system comprises at least a reference vehicle, a test road, a network communication device, and a control platform, wherein the reference vehicle and the to-be-tested vehicle traveling on the test road, wherein the control platform sends a control instruction to the reference vehicle and the to-be-tested vehicle through the network communication device for the to-be-tested vehicle to change lane on the test road when appropriate, the driving data of the to-be-tested vehicle is transmitted to the control platform through the network communication device, so as for the control platform to evaluate the lane change performance of the to-be-tested vehicle based on the driving data.
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Patent Agency Ranking
公开(公告)号：US12084062B2
公开(公告)日：2024-09-10
申请号：US18343040
申请日：2023-06-28
Applicant: MOMENT AI, INC.
Inventor： Megan Gray , Jacob Sutton
IPC: B60W40/08 , A61B5/18 , B60Q1/46 , B60Q1/50 , B60Q1/52 , B60W60/00 , G06V10/82 , G06V20/40 , G06V20/59 , G06V40/16
CPC classification number: B60W40/08 , A61B5/18 , B60Q1/46 , B60Q1/52 , B60Q1/544 , B60W60/0016 , G06V10/82 , G06V20/46 , G06V20/597 , G06V40/161 , G06V40/171 , B60W2040/0818 , B60W2420/403 , B60W2540/221 , B60W2540/26 , B60W2556/45
Abstract: The present teachings relate to a device, system, and method for facial recognition and monitoring. The present teachings may relate to a method for recognizing and monitoring one or more users for an occurrence of a health event of the one or more users comprising: a) receiving incoming video data; b) preprocessing the video data; c) extracting facial data to identify one or more users; d) recognizing the presence, probability, and/or absence of the health event; e) generating one or more notifications or not generating based on the presence, probability, and/or absence of the health event; and f) optionally, enabling one or more safety protocols of a vehicle.
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公开(公告)号：US12071162B2
公开(公告)日：2024-08-27
申请号：US17491068
申请日：2021-09-30
Applicant: Waymo LLC
Inventor： Jonathan Lee Pedersen , Yu Zheng , Eamonn Michael Doherty , Brian Clair Williammee , Kevin Joseph Malta , Chung Eun Kim , Xu Dong
CPC classification number: B60W60/0016 , B60W30/181 , B60W40/06 , G06N20/00 , B60W2552/45 , B60W2555/60
Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for selecting a pull-over location using machine learning. One of the methods includes obtaining data specifying a target pull-over location for an autonomous vehicle travelling on a roadway. A plurality of candidate pull-over locations in a vicinity of the target pull-over location are identified. For each candidate pull-over location, an input that includes features of the candidate pull-over location is processed using a machine learning model to generate a respective likelihood score representing a predicted likelihood that the candidate pull-over location is an optimal location. The features of the candidate pull-over location include one or more features that compare the candidate pull-over location to the target pull-over location. Using the respective likelihood scores, one of the candidate pull-over locations is selected as an actual pull-over location for the autonomous vehicle.
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公开(公告)号：US12066571B2
公开(公告)日：2024-08-20
申请号：US17246831
申请日：2021-05-03
Applicant: Waymo LLC
Inventor： Michael Fina
CPC classification number: G01S7/412 , B60W30/09 , B60W30/18163 , B60W60/0016 , G01C21/3844 , G01S13/931 , B60W2420/408 , G01S2013/9318 , G01S2013/9322
Abstract: Example embodiments relate to techniques for detecting adverse road conditions using radar. A computing device may generate a first radar representation that represents a field of view for a radar unit coupled to a vehicle and during clear weather conditions and store the first radar representation in memory. The computing device may receive radar data from the radar unit during navigation of the vehicle on a road and determine a second radar representation based on the radar data. The computing device may also perform a comparison between the first radar representation and the second radar representation and determine a road condition for the road based on the comparison. The road condition may represent a quantity of precipitation located on the road and provide control instructions to the vehicle based on the road condition for the road.
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公开(公告)号：US12046143B2
公开(公告)日：2024-07-23
申请号：US17219760
申请日：2021-03-31
Applicant: Aptiv Technologies AG
Inventor： Shan Zhang , Narbik Manukian
IPC: G08G1/16 , B60W30/09 , B60W60/00 , G01S7/41 , G01S13/86 , G01S13/931 , G06T7/571 , G06T7/62 , G06T7/70 , G06V10/75 , G06V20/56
CPC classification number: G08G1/165 , B60W30/09 , B60W60/0016 , B60W60/0018 , G01S7/411 , G01S13/867 , G01S13/931 , G06T7/571 , G06T7/62 , G06T7/70 , G06V10/758 , G06V20/56 , B60W2420/403 , G06T2207/10044 , G06T2207/20084 , G06T2207/30261
Abstract: This document describes techniques, apparatuses, and systems for sensor fusion for object-avoidance detection, including stationary-object height estimation. A sensor fusion system may include a two-stage pipeline. In the first stage, time-series radar data passes through a detection model to produce radar range detections. In the second stage, based on the radar range detections and camera detections, an estimation model detects an over-drivable condition associated with stationary objects in a travel path of a vehicle. By projecting radar range detections onto pixels of an image, a histogram tracker can be used to discern pixel-based dimensions of stationary objects and track them across frames. With depth information, a highly accurate pixel-based width and height estimation can be made, which after applying over-drivability thresholds to these estimations, a vehicle can quickly and safely make over-drivability decisions about objects in a road.
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公开(公告)号：US12037019B2
公开(公告)日：2024-07-16
申请号：US17174937
申请日：2021-02-12
Applicant: Mobileye Vision Technologies Ltd.
Inventor： Shai Shalev-Shwartz , Shaked Shammah , Amnon Shashua , Barak Cohen , Zeev Adelman
IPC: B60W60/00 , B60W30/09 , B60W30/095 , B60W30/18 , B60W40/02 , B60W40/105 , B60W40/107 , G05D1/00 , G05D1/247 , G05D1/249 , G05D1/617 , G06T7/20 , G06T7/70 , G06V20/58 , G06V40/10
CPC classification number: B60W60/0016 , B60W30/09 , B60W30/0953 , B60W30/0956 , B60W30/181 , B60W30/18163 , B60W40/02 , B60W40/105 , B60W40/107 , B60W60/0015 , G05D1/0214 , G05D1/0231 , G05D1/0246 , G05D1/247 , G05D1/249 , G05D1/617 , G06T7/20 , G06T7/70 , G06V20/58 , G06V20/584 , G06V40/10 , B60W2420/403 , B60W2420/408 , B60W2510/18 , B60W2520/105 , B60W2520/12 , B60W2520/125 , B60W2520/14 , B60W2530/201 , B60W2552/45 , B60W2554/4029 , B60W2554/4041 , B60W2554/4042 , B60W2554/4043 , B60W2554/4044 , B60W2554/80 , B60W2554/801 , B60W2555/60 , B60W2720/10 , G06T2207/30196 , G06T2207/30261 , G06V2201/07
Abstract: Systems and methods are provided for navigating a host vehicle. A processing device may be programmed to receive an image representative of an environment of the host vehicle; determine a planned navigational action for the host vehicle; analyze the image to identify a target vehicle travelling toward the host vehicle; determine a next-state distance between the host vehicle and the target vehicle that would result if the planned navigational action was taken; determine a stopping distance for the host vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the host vehicle; determine a stopping distance for the target vehicle based on a braking rate, a maximum acceleration capability, and a current speed of the target vehicle; and implement the planned navigational action if the determined next-state distance is greater than a sum of the stopping distances for the host vehicle and the target vehicle.
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