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公开(公告)号：US11851091B2
公开(公告)日：2023-12-26
申请号：US17475268
申请日：2021-09-14
申请人： MOTIONAL AD LLC
IPC分类号： B60W60/00 , B60W50/038
CPC分类号： B60W60/00274 , B60W50/038 , B60W2552/05 , B60W2552/45 , B60W2554/20 , B60W2554/4029 , B60W2554/4042 , B60W2554/4043 , B60W2554/4044 , B60W2554/801 , B60W2554/802 , B60W2555/60
摘要： Embodiments for operational envelope detection (OED) with situational assessment are disclosed. In some embodiments, a method comprises: determining at least one current or future constraint for a trajectory of a vehicle in an environment that is associated with the vehicle becoming immobile for an extended period of time; determining a stopping-reason for immobility of the vehicle based on determining the at least one current or future constraint for the trajectory of the vehicle in the environment; identifying a timeout threshold based on the stopping-reason, wherein the timeout threshold is an amount of time a planning system of the vehicle will wait before initiating at least one remedial action to address the immobility; identifying that the timeout threshold is satisfied; and initiating the at least one remedial action for the vehicle based on the identifying that the timeout threshold is satisfied.
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公开(公告)号：US20230091987A1
公开(公告)日：2023-03-23
申请号：US17475268
申请日：2021-09-14
申请人： MOTIONAL AD LLC
IPC分类号： B60W60/00 , B60W50/038
摘要： Embodiments for operational envelope detection (OED) with situational assessment are disclosed. Embodiments herein relate to an operational envelope detector that is configured to receive, as inputs, information related to sensors of the system and information related to operational design domain (ODD) requirements. The OED then compares the information related to sensors of the system to the information related to the ODD requirements, and identifies whether the system is operating within its ODD or whether a remedial action is appropriate to adjust the ODD requirements based on the current sensor information. Other embodiments are described and/or claimed.
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公开(公告)号：US20240246540A1
公开(公告)日：2024-07-25
申请号：US18589582
申请日：2024-02-28
申请人： Motional AD LLC
CPC分类号： B60W30/18159 , B60W30/18163 , G05D1/617 , G05D1/81 , G08G1/0133 , G08G1/0145 , B60W2400/00 , B60W2520/10 , B60W2554/802
摘要： The current disclosure provides techniques for using human driving behavior to assist in decision making of an autonomous vehicle as the autonomous vehicle encounters various scenarios on the road. For each scenario, a model may be generated based on human driving behavior that governs how an autonomous vehicle maneuvers in that scenario. As a result of using these models, reliability and safety of autonomous vehicle may be improved. In addition, because the model is programmed into the autonomous vehicle, the autonomous vehicle, in many instances, need not consume resources to implement complex calculations to determine driving behavior in real-time.
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公开(公告)号：US11945440B2
公开(公告)日：2024-04-02
申请号：US16996785
申请日：2020-08-18
申请人： Motional AD LLC
CPC分类号： B60W30/18159 , B60W30/18163 , G05D1/0088 , G05D1/0214 , G08G1/0133 , G08G1/0145 , B60W2400/00 , B60W2520/10 , B60W2554/802
摘要： The current disclosure provides techniques for using human driving behavior to assist in decision making of an autonomous vehicle as the autonomous vehicle encounters various scenarios on the road. For each scenario, a model may be generated based on human driving behavior that governs how an autonomous vehicle maneuvers in that scenario. As a result of using these models, reliability and safety of autonomous vehicle may be improved. In addition, because the model is programmed into the autonomous vehicle, the autonomous vehicle, in many instances, need not consume resources to implement complex calculations to determine driving behavior in real-time.
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公开(公告)号：US11727671B1
公开(公告)日：2023-08-15
申请号：US17897107
申请日：2022-08-26
申请人： Motional AD LLC
发明人： Zhiliang Chen , Ke Yi Kaitlyn Ng , Pietro Zullo
IPC分类号： G06V10/77 , G06V10/771
CPC分类号： G06V10/7715 , G06V10/771 , G06V2201/07
摘要： Provided are methods for efficient and optimal feature extraction, which can include identifying observations that satisfy a predetermined configuration of metrics. Some methods described also include extracting feature values of a respective metric from the identified observations and determining parameters for feature extraction based on the feature values extracted from the identified observations and a respective label of the identified observations. Systems and computer program products are also provided.
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公开(公告)号：US20210053569A1
公开(公告)日：2021-02-25
申请号：US16996785
申请日：2020-08-18
申请人： Motional AD LLC
摘要： The current disclosure provides techniques for using human driving behavior to assist in decision making of an autonomous vehicle as the autonomous vehicle encounters various scenarios on the road. For each scenario, a model may be generated based on human driving behavior that governs how an autonomous vehicle maneuvers in that scenario. As a result of using these models, reliability and safety of autonomous vehicle may be improved. In addition, because the model is programmed into the autonomous vehicle, the autonomous vehicle, in many instances, need not consume resources to implement complex calculations to determine driving behavior in real-time.
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