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1.发明公开公开(公告)号：US20230234593A1
公开(公告)日：2023-07-27
申请号：US17586593
申请日：2022-01-27
发明人： ROHIT GUPTA , ZHOUQIAO ZHAO , ZIRAN WANG , KYUNGTAE HAN , PRASHANT TIWARI
CPC分类号： B60W40/09 , B60W60/0051 , B60W50/16 , G16H50/80 , G16H15/00 , G06V20/597 , G06N5/04 , B60W2040/0818
摘要： Systems and methods are provided for predictive assessment of driver perception abilities based on driving behavior personalized to the driver in connection with, but not necessarily, autonomous and semi-autonomous vehicles. In accordance with on embodiment, a method comprises receiving first vehicle operating data and associated first gaze data of a driver operating a vehicle; training a model for the driver based on the first vehicle operating data and the first gaze data, the model indicating driving behavior of the driver; receiving second vehicle operating data and associated second gaze data of the driver; and determining that an ability of the driver to perceive hazards is impaired based on applying the model to the second vehicle operating data and associated second gaze data.
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公开(公告)号：US20230227037A1
公开(公告)日：2023-07-20
申请号：US17578330
申请日：2022-01-18
发明人： ZHOUQIAO ZHAO , ZIRAN WANG , ROHIT GUPTA , KYUNGTAE HAN , PRASHANT TIWARI
IPC分类号： B60W30/165 , B60W50/10 , B60W40/105 , G06N20/00
CPC分类号： B60W30/165 , B60W50/10 , B60W40/105 , G06N20/00 , B60W2554/802
摘要： A personalized adaptive cruise control (P-ACC) system and associated algorithm are disclosed for determining a driver's preferred following gap in relation to vehicle speed based on periods of steady-state operation of a vehicle. While the P-ACC system is activated, vehicle transition states initiated by driver manual interventions such as takeover or overwrite events are used to identify subsequent periods of vehicle steady-state operation. Vehicle dynamics data captured during periods of steady-state operation is stored as steady-state data, which is then used to train a machine learning model to learn the driver's preferred following gap. This learned relationship is fed into second-order vehicle dynamics to determine a target acceleration for achieving the desired following gap while the P-ACC system is activated. Upon achieving the desired following gap, the vehicle speed may be held constant to maintain the following gap unless a change in lead vehicle speed necessitates updating the following gap.
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公开(公告)号：US20230322234A1
公开(公告)日：2023-10-12
申请号：US17715011
申请日：2022-04-06
发明人： ZIRAN WANG , KYUNGTAE HAN , ROHIT GUPTA , PRASHANT TIWARI
CPC分类号： B60W40/09 , B60W30/12 , B60W50/10 , G06K9/6259 , B60W2554/4045 , B60W2552/53 , B60W2540/30
摘要： A learning-based lane change prediction algorithm, and systems and methods for implementing the algorithm, are disclosed. The prediction algorithm evaluates the driving behaviors of a target human driver and predicts lane change maneuvers based on those personalized driving behaviors. The algorithm may include an online lane change decision prediction phase and an offline prediction training and cost function recovery phase. During the offline training phase, a machine learning model may be trained based on historical vehicle states. During the online validation phase, driving data may be collected and fed to the trained model to predict a driver's lane change maneuver, identify potential vehicle trajectories, and determine a most probable vehicle trajectory based on a driver's cost function recovered during the offline phase.
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4.发明公开公开(公告)号：US20230219569A1
公开(公告)日：2023-07-13
申请号：US17572486
申请日：2022-01-10
发明人： ZHOUQIAO ZHAO , ZIRAN WANG , ROHIT GUPTA , KYUNGTAE HAN , PRASHANT TIWARI
IPC分类号： B60W30/16 , B60W60/00 , B60W40/105 , B60W40/06 , B60W40/04
CPC分类号： B60W30/16 , B60W60/001 , B60W40/105 , B60W40/06 , B60W40/04 , B60W2554/402 , B60W2554/80 , B60W2554/4046
摘要： Systems and methods are provided for implementing personalized adaptive cruise control techniques in connection with, but not necessarily, autonomous and semi-autonomous vehicles. In accordance with one embodiment, a method comprises receiving first vehicle operating data and associated first environmental data of a plurality of vehicles; classifying the first vehicle operating data and the first environmental data into a plurality of driver type classifications; training a control policy model for each driver type classification based on the first vehicle operating data and the first environmental data; receiving a real-time classification of a target vehicle based on second vehicle operating data and associated second environmental data of the target vehicle; and output a trained control policy model the to target vehicle based on the real-time classification of the vehicle, wherein the target vehicle is controlled according to the trained control policy model.
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公开(公告)号：US20230093546A1
公开(公告)日：2023-03-23
申请号：US17478851
申请日：2021-09-17
发明人： RUI GUO , SERGEI AVEDISOV , KYUNGTAE HAN , HONGSHENG LU , PRASHANT TIWARI
摘要： Connected vehicles and methods described herein provide for message sender identification. Connected vehicles and methods disclosed herein can include generating a message based hyper-graph based on the positions of connected elements of a road traffic network as communicated to the connected vehicle by the connected elements. Connected vehicles and methods disclosed herein can include generating, a perception based hyper-graph based on the perceived positions of at least a subset of the elements of the road traffic network as determined by a sensor of the vehicle. Connected vehicles and methods disclosed herein can include matching a node of the message-based hyper-graph to a corresponding node of the perception-based hyper-graph to determine the sender of a received message.
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