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公开(公告)号:US11753034B2
公开(公告)日:2023-09-12
申请号:US17648749
申请日:2022-01-24
发明人: Jumpei Kiriki , Taiyo Uejima
CPC分类号: B60W60/0015 , B60W30/181 , B60W40/08 , B60W2540/225 , B60W2540/229
摘要: A vehicle control device has a processor configured to determine whether or not a problem exists with the level of active operation by the driver and when there is a problem with the driver, to set a stopping location for the vehicle on a traveling lane and to determine whether or not another traffic lane is adjacent on the side of the stopping location opposite from a passing lane and, when another traffic lane is adjacent, to determine whether or not the stopping location is within a stop avoidance area set in the traveling lane, based on an adjacent start location or an adjacent end location and, when the stopping location is within the stop avoidance area, to generate a stopping plan for stopping of the vehicle at a location between the adjacent start location and the adjacent end location other than in the stop avoidance area.
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公开(公告)号:US11738748B2
公开(公告)日:2023-08-29
申请号:US17072068
申请日:2020-10-16
CPC分类号: B60W30/12 , G08G1/167 , B60W2420/42 , B60W2520/06 , B60W2520/10 , B60W2540/18 , B60W2540/229 , B60W2552/05
摘要: The present application generally relates to a method and apparatus for generating an action policy for controlling an autonomous vehicle. In particular, the method and apparatus are operative for detecting, by a vehicle sensor, a distance from a host vehicle to a lane edge, determining a status of a vehicle system, calculating, by a processor, a risk index in response to the status of the vehicle system, calculating, by the processor, an intervention threshold in response to the risk index, generating, by the processor, a vehicle path in response to the distance of the host vehicle to the lane edge being less than the intervention threshold, and controlling the vehicle, by a vehicle controller, in response to the vehicle path.
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公开(公告)号:US11718326B2
公开(公告)日:2023-08-08
申请号:US17076513
申请日:2020-10-21
发明人: Dae Young Kim
CPC分类号: B60W60/005 , B60W40/08 , B60W50/14 , B60W60/0016 , B60W2040/0818 , B60W2040/0881 , B60W2050/0082 , B60W2540/10 , B60W2540/12 , B60W2540/225 , B60W2540/229
摘要: The present invention relates to an autonomous driving control apparatus and an autonomous driving control method, and an exemplary embodiment of the present invention provides the autonomous driving control apparatus including: a driver seating sensor configured to recognize whether or not the driver is seated; a driver monitoring device configured to recognize whether a driver is looking ahead; and a processor configured to determine whether control authority is switchable for activating an autonomous driving control function based on sensing results of the driver seating sensor and the driver monitoring device.
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公开(公告)号:US11708090B2
公开(公告)日:2023-07-25
申请号:US17068065
申请日:2020-10-12
发明人: Simon J. Trask , Scott D. Thomas , Joseph R. Abrash , Tracy Gonzalez , Dustin Knapp , Kaleb R. Lepak , Eva Rousseau
CPC分类号: B60W60/0015 , B60W30/09 , B60W30/0956 , B60W40/09 , B60W50/14 , G08G1/166 , H04W4/40 , B60W2050/143 , B60W2540/229 , B60W2552/00 , B60W2556/45
摘要: Vehicle behavioral monitoring includes determining a measure of distraction of the operator of a target vehicle, characterizing the type or category of distraction, determining level of risk that the target vehicle poses, and invoking various responses including host vehicle notifications and evasive actions and external notification and information sharing.
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公开(公告)号:US20230227058A1
公开(公告)日:2023-07-20
申请号:US18124351
申请日:2023-03-21
申请人: NETRADYNE, INC.
发明人: David Jonathan Julian , Venkata Sreekanta Reddy Annapureddy , Sandeep Pandya , Arvind Yedla , Dale Alan Willis , Venkata Ramanan Venkatachalam Jayaraman , Suresh Babu Yanamala , Avneesh Agrawal , Veeresh Taranalli , Jaeyoon Kim
IPC分类号: B60W50/14 , G06V20/58 , G06V40/16 , G06V20/59 , G06V40/19 , B60W40/02 , B60W40/08 , G08G1/16
CPC分类号: B60W50/14 , G06V20/58 , G06V40/165 , G06V20/597 , G06V40/19 , B60W40/02 , B60W40/08 , G08G1/164 , B60W2540/225 , B60W2552/53 , B60W2540/229 , B60W2555/60 , B60W2554/404 , B60W2420/42 , B60W2520/00
摘要: Systems and methods are provided for intelligent driving monitoring systems, advanced driver assistance systems and autonomous driving systems, and providing alerts to the driver of a vehicle, based on anomalies detected between driver behavior and environment captured by the outward facing camera. Various aspects of the driver, which may include his direction of sight, point of focus, posture, gaze, is determined by image processing of the upper visible body of the driver, by a driver facing camera in the vehicle. Other aspects of environment around the vehicle captured by the multitude of cameras in the vehicle are used to correlate driver behavior and actions with what is happening outside to detect and warn on anomalies, prevent accidents, provide feedback to the driver, and in general provide a safer driver experience.
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公开(公告)号:US11679785B2
公开(公告)日:2023-06-20
申请号:US17341382
申请日:2021-06-08
发明人: Teiko Inoue , Mitsuyoshi Ohno
CPC分类号: B60W60/0053 , B60W10/30 , B60W40/08 , B60W2540/229
摘要: In a vehicle in which a driving state is switchable between autonomous driving and manual driving, it is determined whether an occupant is applying makeup. When it is determined that the occupant is applying makeup at a time of switching of the driving state from autonomous driving to manual driving, a process of closing a lid of a mirror provided on a sun visor of the vehicle is performed as a makeup ending process of ending makeup by the occupant.
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47.
公开(公告)号:US20230186436A1
公开(公告)日:2023-06-15
申请号:US17661177
申请日:2022-04-28
申请人: Anhui University
发明人: Jie Chen , Bing Li , Zihan Cheng , Haitao Wang , Jingmin Xi , Yingjian Deng
CPC分类号: B60W40/08 , G06V20/597 , G06V20/70 , G06V10/82 , G06T5/002 , G06F17/11 , B60W2040/0818 , B60W2420/42 , B60W2540/229
摘要: The present disclosure provides a method for fine-grained detection of driver distraction based on unsupervised learning, belonging to the field of driving behavior analysis. The method includes: acquiring distracted driving image data; and inputting the acquired distracted driving image data into an unsupervised learning detection model, analyzing the distracted driving image data by using the unsupervised learning detection model, and determining a driver distraction state according to an analysis result. The unsupervised learning detection model includes a backbone network, projection heads, and a loss function; the backbone network is a RepMLP network structure incorporating a multilayer perceptron (MLP); the projection heads are each an MLP incorporating a residual structure; and the loss function is a loss function based on contrastive learning and a stop-gradient strategy.
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公开(公告)号:US20230174088A1
公开(公告)日:2023-06-08
申请号:US17592707
申请日:2022-02-04
发明人: Joel E. Birsching
CPC分类号: B60W50/12 , B60W40/09 , B60W2540/223 , B60W2540/229 , B60W2510/202
摘要: A method hands-on-wheel detection includes receiving a handwheel angle signal from a sensor associated with a handwheel of a vehicle and generating, based on a handwheel angle indicated by the handwheel angle signal, a handwheel speed signal and a handwheel acceleration signal. The method also includes synchronizing the handwheel speed signal and the handwheel acceleration signal by generating a delayed handwheel speed signal and a delayed handwheel acceleration signal. The method also includes generating an operator torque estimation signal based on, at least, the delayed handwheel speed signal and the delayed handwheel acceleration signal. The method also includes determining whether hands of an operator of the vehicle are on the handwheel based on the operator torque estimation signal.
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公开(公告)号:US12122392B2
公开(公告)日:2024-10-22
申请号:US17410580
申请日:2021-08-24
申请人: Nvidia Corporation
发明人: Yuzhuo Ren , Niranjan Avadhanam
CPC分类号: B60W40/09 , G06V20/597 , B60W2420/403 , B60W2540/229 , B60W2554/4046 , B60W2554/4049 , G06V40/161 , G06V40/171 , G06V40/172
摘要: State information can be determined for a subject that is robust to different inputs or conditions. For drowsiness, facial landmarks can be determined from captured image data and used to determine a set of blink parameters. These parameters can be used, such as with a temporal network, to estimate a state (e.g., drowsiness) of the subject. To improve robustness, an eye state determination network can determine eye state from the image data, without reliance on intermediate landmarks, that can be used, such as with another temporal network, to estimate the state of the subject. A weighted combination of these values can be used to determine an overall state of the subject. To improve accuracy, individual behavior patterns and context information can be utilized to account for variations in the data due to subject variation or current context rather than changes in state.
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公开(公告)号:US20240326829A1
公开(公告)日:2024-10-03
申请号:US18622677
申请日:2024-03-29
发明人: Anastasiya Vladimirovna BAKHCHINA , Ivan Sergeevich SHISHALOV , Mariya Yurievna NEVAYKINA , Anton Konstantinovich YAKIMOV , Anton Sergeevich DEVYATKIN , Mikhail Sergeevich SOTNIKOV , Andrey Viktorovich FILIMONOV , Vladimir Vladimirovich BORZIKOV
CPC分类号: B60W40/09 , B60W50/14 , B60W2040/0818 , B60W2040/0872 , B60W2540/215 , B60W2540/22 , B60W2540/221 , B60W2540/229 , B60W2556/10
摘要: It is herein disclosed a method of collecting data for determining a psychophysiological state of a human driver, comprising collecting data throughout a driving session, wherein the driving session comprises driving on a predetermined route by a driver in an automotive vehicle, wherein the predetermined route is divided into a plurality of route sections comprising a first route section having a first driving environment and a second route section having a second environment, wherein one of the first and second driving environments is a higher-complexity driving environment and the other of the first and second driving environments is a lower-complexity driving environment; wherein the driving session comprises a plurality of driving breaks, each break following immediately after driving in a respective route section is complete, wherein during each driving break a respective detection response task (DRT) is performed by the driver.
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