PROBABILISTIC OBJECT TRACKING AND PREDICTION FRAMEWORK

    公开(公告)号:WO2019231456A1

    公开(公告)日:2019-12-05

    申请号:PCT/US2018/035455

    申请日:2018-05-31

    Abstract: World objects tracking and prediction by an autonomous vehicle is disclosed. A method includes receiving, from sensors of the AV, a first observation data; associating the first observation data with a first world object; determining hypotheses for the first world object, wherein a hypothesis corresponds to an intention of the first world object; determining a respective hypothesis likelihood of each of the hypotheses indicating a likelihood that the first world object follows the intention; determining, for at least one hypothesis of the hypotheses, a respective state, wherein the respective state comprises predicted positions of the first world object; and in response to a query, providing a hypothesis of the hypotheses based on the respective hypothesis likelihood of each of the hypotheses.

    COMPUTING FRAMEWORK FOR BATCH ROUTING OF AUTONOMOUS VEHICLES

    公开(公告)号:WO2019152014A1

    公开(公告)日:2019-08-08

    申请号:PCT/US2018/016194

    申请日:2018-01-31

    Abstract: Batch routing of autonomous vehicles is disclosed. A method may include maintaining a plurality of vehicle state data object instances that respectively correspond to a plurality of autonomous vehicles. The method includes obtaining a traffic condition location and determining a group of autonomous vehicles from the plurality of autonomous vehicles where the current route of each autonomous vehicle intersects the traffic condition location. The method also includes determining two or more subgroups of autonomous vehicles, and for each subgroup, determining a respective avoidance waypoint corresponding to the subgroup that is not on the current route of the autonomous vehicle. For each autonomous vehicle in the subgroup, the method includes determining an updated route based on the current route of the autonomous vehicle and the respective avoidance waypoint, generating a control instruction based on the updated route, and transmitting the control instruction to the autonomous vehicle.

    SOLUTION PATH OVERLAY INTERFACES FOR AUTONOMOUS VEHICLES

    公开(公告)号:WO2019125489A1

    公开(公告)日:2019-06-27

    申请号:PCT/US2017/068221

    申请日:2017-12-22

    Abstract: Methods and systems for controlling a vehicle are herein disclosed. A method includes receiving vehicle data and external data from a vehicle control system of a vehicle and generating an environment representation of an area of the transportation network proximate to the vehicle location. The method includes displaying the environment representation in a GUI and receiving a solution path via the graphical user interface, the solution path indicating a route and one or more stop points. The method includes transmitting the route to the vehicle including a respective geolocation of each of the one or more stop points. The vehicle receives the route and begins traversing the transportation network based on the solution path. The method includes receiving updated vehicle data and/or updated external data from the vehicle and updating the environment representation based thereon. The method includes displaying, the updated environment representation via the graphical user interface.

    AUTONOMOUS VEHICLE OPERATION WITH EXPLICIT OCCLUSION REASONING

    公开(公告)号:WO2019089015A1

    公开(公告)日:2019-05-09

    申请号:PCT/US2017/059374

    申请日:2017-10-31

    Abstract: Autonomous vehicle operation with explicit occlusion reasoning may include traversing, by a vehicle, a vehicle transportation network. Traversing the vehicle transportation network can include receiving, from a sensor of the vehicle, sensor data for a portion of a vehicle operational environment, determining, using the sensor data, a visibility grid comprising coordinates forming an unobserved region within a defined distance from the vehicle, computing a probability of a presence of an external object within the unobserved region by comparing the visibility grid to a map (e.g., a high-definition map), and traversing a portion of the vehicle transportation network using the probability. An apparatus and a vehicle are also described.

    REINFORCEMENT AND MODEL LEARNING FOR VEHICLE OPERATION

    公开(公告)号:WO2019088989A1

    公开(公告)日:2019-05-09

    申请号:PCT/US2017/059186

    申请日:2017-10-31

    Abstract: Methods and vehicles may be configured to gain experience in the form of state-action and/or action-observation histories for an operational scenario as the vehicle traverses a vehicle transportation network. The histories may be incorporated into a model in the form of learning to improve the model over time. The learning may be used to improve integration with human behavior. Driver feedback may be used in the learning examples to improve future performance and to integrate with human behavior. The learning may be used to create customized scenario solutions. The learning may be used to transfer a learned solution and apply the learned solution to a similar scenario.

    AUTONOMOUS VEHICLE OPERATIONAL MANAGEMENT BLOCKING MONITORING

    公开(公告)号:WO2018147873A1

    公开(公告)日:2018-08-16

    申请号:PCT/US2017/017516

    申请日:2017-02-10

    Abstract: Autonomous vehicle operational management including blocking monitoring may include traversing, by an autonomous vehicle, a vehicle transportation network. Traversing the vehicle transportation network may include operating a blocking monitor instance, which may include identifying operational environment information including information corresponding to a first external object within a defined distance of the autonomous vehicle, determining a first area of the vehicle transportation network based on a current geospatial location of the autonomous vehicle in the vehicle transportation network and an identified route for the autonomous vehicle, and determining a probability of availability for the first area based on the operational environment information. Traversing the vehicle transportation network may include traversing a portion of the vehicle transportation network based on the probability of availability.

    SMART TUTORIAL THAT LEARNS AND ADAPTS
    59.
    发明申请
    SMART TUTORIAL THAT LEARNS AND ADAPTS 审中-公开
    智能教程,学习和适应

    公开(公告)号:WO2018022133A1

    公开(公告)日:2018-02-01

    申请号:PCT/US2017/013753

    申请日:2017-01-17

    Abstract: Methods, apparatuses, and non-transitory computer readable storage media for a smart tutorial that adapts may assist in the operation of a vehicle including generating a situational profile that includes driver identity data, vehicle state data, or extra-vehicular state data. The situational profile is compared to assistance profiles that include aggregate identity data, aggregate vehicular state data, or aggregate extra-vehicular state data. The assistance profiles correspond to assistance instructions. Based on the comparison, similarity values corresponding to the assistance profiles are generated based on the comparison between the situational profile and the assistance profiles. The greatest similarity value corresponds to the assistance profile that is most similar to the situational profile. In response to the usage frequency value exceeding a usage frequency threshold value, the assistance instruction that corresponds to the assistance profile that is most similar to the situational profile may be selected.

    Abstract translation: 用于适应智能教程的方法,装置和非暂时性计算机可读存储介质可以辅助车辆的操作,包括生成包括驾驶员身份数据,车辆状态数据或 车外状态数据。 将情景概况与包括聚合身份数据,聚合车辆状态数据或聚合车外状态数据的援助概况进行比较。 援助资料对应于援助说明。 基于该比较,基于情景简档和辅助简档之间的比较来生成对应于辅助简档的相似性值。 最大的相似性值对应于与情境概况最相似的援助概况。 响应于使用频率值超过使用频率阈值,可以选择对应于与情境简档最相似的辅助简档的辅助指令。

    VEHICLE BATTERY TEMPERATURE CONTROL SYSTEM AND METHOD
    60.
    发明申请
    VEHICLE BATTERY TEMPERATURE CONTROL SYSTEM AND METHOD 审中-公开
    车用电池温度控制系统及方法

    公开(公告)号:WO2012003209A1

    公开(公告)日:2012-01-05

    申请号:PCT/US2011/042337

    申请日:2011-06-29

    Abstract: A vehicle battery temperature control system includes a battery (14), a housing (16), a heat exchanger (18) and a sensor (32). The battery (14) has a heat sink (20). The housing (16) has a chamber (24) that contains the battery (14) and saturated liquid coolant (26) that substantially immerses the heat sink (20) to receive the thermal energy to cause a phase change of the coolant (26) from a liquid to a vapor. The heat exchanger (18) removes thermal energy from the vapor to change the vapor to liquid, and returns the liquid to the chamber (24). Either a valve (38, 40) selectively conveying coolant (26) between the chamber (24) to an air-conditioning system or a heating device (52) is controlled based on a characteristic of the coolant (26) detected by the sensor (32) to remove or provide thermal energy to or from the coolant (26) based on a relationship between the characteristic of the coolant (26) and a threshold.

    Abstract translation: 车载电池温度控制系统包括电池(14),壳体(16),热交换器(18)和传感器(32)。 电池(14)具有散热器(20)。 壳体(16)具有容纳电池(14)的腔室(24)和饱和的液体冷却剂(26),其基本上浸入散热器(20)以接收热能以引起冷却剂(26)的相变, 从液体到蒸气。 热交换器(18)从蒸汽中除去热能,将蒸汽转化为液体,并将液体返回到室(24)。 基于由传感器检测到的冷却剂(26)的特性来控制选择性地将腔室(24)内的冷却剂(26)输送到空调系统或加热装置(52)的阀门(38,40) 32)根据冷却剂(26)的特性与阈值之间的关系来去除或向冷却剂(26)提供热能。

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