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1.发明授权公开(公告)号：US12039861B2
公开(公告)日：2024-07-16
申请号：US17186401
申请日：2021-02-26
发明人： Rui Guo , Kentaro Oguchi , Takamasa Higuchi , Xuewei Qi , Seyhan Ucar , Haritha Muralidharan
CPC分类号： G08G1/0125 , G06N3/08 , G06T7/269 , G06T7/55 , G06T19/00 , G06V20/588 , G08G1/0112 , G06T2207/10028 , G06T2207/20084 , G06T2207/30241 , G06T2207/30256 , G06T2219/004
摘要： One embodiment of a system for analyzing the in-lane driving behavior of an external road agent generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene. The system performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent. The system generates a dense 3D point cloud by combining at least some of those identified points. The system detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud. The system analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.
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公开(公告)号：US20240166244A1
公开(公告)日：2024-05-23
申请号：US17992160
申请日：2022-11-22
IPC分类号： B60W60/00 , G06V10/764 , G06V20/58
CPC分类号： B60W60/0027 , G06V10/764 , G06V20/58 , B60W2554/4046 , B60W2554/80
摘要： System, methods, and other embodiments described herein relate to estimating the origins of abnormal driving through observed driving patterns. In one embodiment, a method includes detecting, using parallel computations, abnormal classifications associated with a subject vehicle and nearby vehicles according to driving patterns derived from observation data, the abnormal classifications being associated with exceeding a position range in the observation data. The method also includes estimating an origin of abnormal driving with happens-before analysis according to the abnormal classifications, and the abnormal driving is associated with deviations in a traffic flow associated with the subject vehicle and the nearby vehicles. The method also includes controlling the subject vehicle using a driving command according to the origin.
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公开(公告)号：US20240271930A1
公开(公告)日：2024-08-15
申请号：US18168287
申请日：2023-02-13
IPC分类号： G01B21/30
CPC分类号： G01B21/30
摘要： A vehicle system of a vehicle may include comprising a controller programmed to obtain rotational speeds of a plurality of wheels of the vehicle at a plurality of time steps, determine a difference between speeds of one or more front wheels of the vehicle and speeds of one or more rear wheels of the vehicle at the plurality of time steps to generate wheel speed differential data, perform a wavelet transform of the wheel speed differential data to generate a continuous wavelet transform spectrum, identify one or more hot spots in the continuous wavelet transform spectrum comprising a plurality of data points having an amplitude within a predetermined frequency range greater than a predetermined detection threshold, and determine locations of one or more speed bumps based on the identified one or more hot spots.
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公开(公告)号：US20240267178A1
公开(公告)日：2024-08-08
申请号：US18163833
申请日：2023-02-02
发明人： EMRAH AKIN SISBOT , Yashar Zeiynali Farid , Xiaofei Cao , Haritha Muralidharan , Kentaro Oguchi
IPC分类号： H04L5/00 , H04W72/1273 , H04W72/56
CPC分类号： H04L5/0048 , H04W72/1273 , H04W72/56
摘要： Systems and methods are provided for prioritizing downlink vehicle communication. Such systems and methods leverage transit-impacting event category determinations, and transit-impacting event category-specific parameters to quickly (and efficiently) provide tailored downlink vehicle communication priority orders to requesting transit-related services.
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5.发明申请公开(公告)号：US20220277647A1
公开(公告)日：2022-09-01
申请号：US17186401
申请日：2021-02-26
发明人： Rui Guo , Kentaro Oguchi , Takamasa Higuchi , Xuewei Qi , Seyhan Ucar , Haritha Muralidharan
摘要： Systems and methods for analyzing the in-lane driving behavior of an external road agent are disclosed herein. One embodiment generates a sequence of sparse 3D point clouds based on a sequence of depth maps corresponding to a sequence of images of a scene; performs flow clustering based on the sequence of depth maps and a sequence of flow maps to identify points across the sequence of sparse 3D point clouds that belong to a detected road agent; generates a dense 3D point cloud by combining at least some of the points across the sequence of sparse 3D point clouds that belong to the detected road agent; detects one or more lane markings and projects them into the dense 3D point cloud to generate an annotated 3D point cloud; and analyzes the in-lane driving behavior of the detected road agent based, at least in part, on the annotated 3D point cloud.
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公开(公告)号：US20240265802A1
公开(公告)日：2024-08-08
申请号：US18104863
申请日：2023-02-02
CPC分类号： G08G1/0145 , G08G1/017
摘要： Systems and methods described herein relate to configuring a hierarchical traffic management system. One embodiment receives, at a cloud server, a request from an application, the request including requirements and implicating configuration of a hierarchical traffic management system; determines, based on information received from one or more connected vehicles in an area of interest pertaining to the request, a minimum density of connected vehicles in the area of interest to meet the requirements; calculates an optimum number of connected vehicles to assign to a section manager in the hierarchical traffic management system; calculates the size of a section of the roadway to be managed by the section manager in the area of interest based, at least in part, on the minimum density of connected vehicles and the optimum number of connected vehicles; and activates the hierarchical traffic management system in accordance with the calculated size of the section.
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公开(公告)号：US20210225168A1
公开(公告)日：2021-07-22
申请号：US16748333
申请日：2020-01-21
发明人： Baik Hoh , Shalini Keshavamurthy , Haritha Muralidharan , Yuta Kataoka , Rui Guo , Kentaro Oguchi
摘要： Systems and methods for assisting occupants to exit a parked vehicle safely are disclosed herein. One embodiment detects that an other road user has entered a safety monitoring zone; tracks the detected other road user within the safety monitoring zone as the detected other road user approaches the parked vehicle; indicates, to an occupant of the parked vehicle, a first safety condition while a predicted time period until the detected other road user will enter a virtual safety bubble exceeds a predetermined time threshold; indicates, to the occupant of the parked vehicle, a second safety condition and indicates the predicted time period while the predicted time period is greater than zero and less than or equal to the predetermined time threshold; and indicates, to the occupant of the parked vehicle, a third safety condition while the detected other road user is inside the virtual safety bubble.
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公开(公告)号：US10762650B1
公开(公告)日：2020-09-01
申请号：US16570048
申请日：2019-09-13
发明人： Rui Guo , Wenjie Luo , Shalini Keshavamurthy , Haritha Muralidharan , Fangying Zhai , Kentaro Oguchi
摘要： A system for estimating depth using a monocular camera may include one or more processors, a monocular camera, and a memory device. The monocular camera and the memory device may be operably connected to the one or more processors. The memory device may include an image capture, an encoder-decoder module, a semantic information generating module, and a depth map generating module. The modules may configure the one or more processors to executed by one or more processors cause the one or more processors to obtain a captured image from the monocular camera, generate a synthesized image based on the captured image wherein the style transfer module was trained using a generative adversarial network, generate, a feature map based on the synthesized image, generate semantic information based on the feature map, and generate a depth map based on the feature map and the semantic information.
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