Method and system for controlling a vehicle to a moving point
    72.
    发明授权
    Method and system for controlling a vehicle to a moving point 有权
    用于将车辆控制到移动点的方法和系统

    公开(公告)号:US09296411B2

    公开(公告)日:2016-03-29

    申请号:US14468926

    申请日:2014-08-26

    Abstract: An autonomous vehicle including a chassis, a conveyance system carrying the chassis, and a controller configured to steer the conveyance system. The controller is further configured to execute the steps of receiving steering radius information from a source; and creating steering instructions for the vehicle dependent upon the steering radius information from the source. The source not being from the vehicle itself.

    Abstract translation: 一种自主车辆,包括底盘,承载底盘的输送系统和构造成转向输送系统的控制器。 控制器还被配置为执行从源接收转向半径信息的步骤; 以及根据来自源的转向半径信息创建车辆的转向指令。 来源不是来自车辆本身。

    METHOD FOR EXTRACTING CURB OF ROAD USING LASER RANGE FINDER AND METHOD FOR LOCALIZING OF MOBILE ROBOT USING CURB INFORMAITON OF ROAD
    75.
    发明申请
    METHOD FOR EXTRACTING CURB OF ROAD USING LASER RANGE FINDER AND METHOD FOR LOCALIZING OF MOBILE ROBOT USING CURB INFORMAITON OF ROAD 有权
    使用激光测距仪提取道路弯曲的方法和使用道路通道的移动机器人本地化的方法

    公开(公告)号:US20160011594A1

    公开(公告)日:2016-01-14

    申请号:US14521699

    申请日:2014-10-23

    Abstract: The invention relates to a method for extracting a curb of a road using a laser range finder and a method for localizing of a mobile robot using curb information of a road. The method for extracting the curb of the road using the laser range finder includes extracting a road surface and line segments from scan data of the laser range finder, extracting a plurality of curb candidate line segments among the line segments on the basis of an angle between the road surface and the line segment, extracting a plurality of curb candidates having a plurality of curb properties, wherein each of the plurality of curb candidates is generated by combining the couple of the curb candidate line segments, and applying the plurality of the curb candidates to a Kernel Fisher Discriminant Analysis to extract a final curb.

    Abstract translation: 本发明涉及使用激光测距仪提取道路路缘的方法和使用道路路边信息对移动机器人进行本地化的方法。 使用激光测距仪提取道路的路边的方法包括从激光测距仪的扫描数据中提取路面和线段,基于所述线段中的角度提取多个路缘候选线段, 所述路面和所述线段,提取具有多个路缘特性的多个路缘候补,其中,所述多个路缘候选中的每一个通过组合所述路缘候选线段的所述一对来产生,并且施加所述多个路缘候选 到内核​​Fisher判别分析来提取最终路边。

    Cooperative perimeter patrol system and method
    76.
    发明授权
    Cooperative perimeter patrol system and method 有权
    合作周边巡逻系统及方法

    公开(公告)号:US09164514B1

    公开(公告)日:2015-10-20

    申请号:US14252581

    申请日:2014-04-14

    CPC classification number: G05D1/0291 G05D2201/0209 G08B13/00

    Abstract: A method of patrolling a perimeter of a geographic area, using two or more unmanned vehicles having means for locomotion along a perimeter path. Each vehicle is equipped with at least the following systems: a navigation system operable to autonomously navigate the unmanned vehicle, an anomaly detection system, a communications system, an anomaly tracking system, operable to track, visually or by following, a detected anomaly, and an alert evaluation system. Each vehicle travels the path on a predetermined route, and is operable to broadcast an alert message to all other vehicles if that vehicle detects an anomaly, to perform an evaluation of any received alert message to determine if it will travel to an anomaly based on stored evaluation rules, and to respond to an alert message based on the evaluation.

    Abstract translation: 使用两个或更多个具有沿着周边路径移动的装置的无人驾驶车辆来巡视地理区域的周边的方法。 每个车辆至少配备有以下系统:可操作以自主导航无人驾驶车辆的导航系统,异常检测系统,通信系统,异常跟踪系统,可操作地跟踪视觉上或跟踪检测到的异常,以及 一个警戒评估系统。 每个车辆在预定路线上行进路径,并且如果车辆检测到异常,则可操作以向所有其他车辆广播警报消息,以执行任何接收到的警报消息的评估,以基于所存储的警报消息来确定是否将行进到异常 评估规则,并根据评估响应警报信息。

    Unmanned multi-purpose ground vehicle with different levels of control
    77.
    发明授权
    Unmanned multi-purpose ground vehicle with different levels of control 有权
    无人驾驶多用途地面车辆具有不同的控制水平

    公开(公告)号:US09163909B2

    公开(公告)日:2015-10-20

    申请号:US12635953

    申请日:2009-12-11

    Abstract: A vehicle comprises a platform, a propulsion system, a communications system, a sensor system, and a computer system. The propulsion system, communications system, sensor system, and computer system are associated with the platform. The propulsion system is configured to move the platform on a ground. The communications system is configured to establish a wireless communications link to a remote location. The sensor system is configured to generate sensor data. The computer system is configured to run a number of control processes to perform a mission and configured to perform operations in response to a number of commands from the number of operators if the number of requests is valid.

    Abstract translation: 车辆包括平台,推进系统,通信系统,传感器系统和计算机系统。 推进系统,通信系统,传感器系统和计算机系统与平台相关联。 推进系统被配置成将平台移动到地面上。 通信系统被配置为建立到远程位置的无线通信链路。 传感器系统被配置为生成传感器数据。 计算机系统被配置为运行多个控制进程以执行任务并且被配置为如果请求数量有效则响应于来自运算符数量的多个命令执行操作。

    Systems and methods for automated cloud-based analytics for security and/or surveillance
    78.
    发明申请
    Systems and methods for automated cloud-based analytics for security and/or surveillance 有权
    用于安全和/或监控的基于云的自动分析的系统和方法

    公开(公告)号:US20150290808A1

    公开(公告)日:2015-10-15

    申请号:US14504132

    申请日:2014-10-01

    Inventor: Martin A. Renkis

    Abstract: Systems and methods for cloud-based social surveillance are disclosed. At least one mobile robot patrol a certain surveillance area and capture data content through various function modules. A computing device coupled with each robot collects and sends the data to a cloud-based analytics platform via network for surveillance real-time or near-real-time analysis. A cloud-based analytics platform is comprised of at least one cloud server, at least one cloud database, communication network, and user interface. Authorized users access the information related to their corresponding predetermined surveillance environment inputs and/or analytics of the inputs within the system via a user interface and/or override commands or updates generated based on the analysis.

    Abstract translation: 披露了基于云的社会监督的系统和方法。 至少有一个移动机器人巡视某个监控区域,并通过各种功能模块捕获数据内容。 与每个机器相结合的计算设备通过网络收集并发送数据到基于云的分析平台,用于监控实时或近实时分析。 基于云的分析平台由至少一个云服务器,至少一个云数据库,通信网络和用户界面组成。 授权用户经由用户界面访问与其相应的预定监视环境输入相关的信息和/或系统内的输入的分析和/或覆盖基于分析生成的命令或更新。

    Vehicle guidance system and corresponding method
    79.
    发明申请
    Vehicle guidance system and corresponding method 有权
    车辆引导系统及相应方法

    公开(公告)号:US20150239473A1

    公开(公告)日:2015-08-27

    申请号:US14429088

    申请日:2013-09-27

    Applicant: THALES

    Inventor: Philippe Gosset

    Abstract: The guidance system (16) is suitable for guiding a follower vehicle (14) such that it follows a leader (12). It includes a system (20) for localizing the leader (12) relative to the follower vehicle (14). The localization system (20) includes: at least two distance measuring devices (23) designed to be carried by the follower vehicle (14), each being suitable for measuring a distance (D1, D2, D3) from a reference point (25, 26, 27) of the follower vehicle (14), associated with the distance measuring device (23), to the leader (12), said reference points (25, 26, 27) being spaced apart from one another, and a computer (28), programmed to deduce the position of the leader (12) relative to the follower vehicle (14) from the distances (D1, D2, D3) measured by the measuring devices (23). A corresponding guidance method is also provided.

    Abstract translation: 引导系统(16)适于引导从动车辆(14)使其跟随领先(12)。 它包括用于使引导件(12)相对于从动车辆(14)定位的系统(20)。 定位系统(20)包括:被设计为由随动车辆(14)承载的至少两个距离测量装置(23),每个距离测量装置(23)适合于从参考点(25,26)测量距离(D1,D2,D3) 与距离测量装置(23)相关联的随动车辆(14,26,27)连接到引导件(12),所述参考点(25,26,27)彼此间隔开,并且计算机 28),被编程为从由测量装置(23)测量的距离(D1,D2,D3)推导出引导件(12)相对于从动车辆(14)的位置。 还提供了相应的指导方法。

    ROBOT CONTROLLER LEARNING SYSTEM
    80.
    发明申请
    ROBOT CONTROLLER LEARNING SYSTEM 有权
    机器人控制器学习系统

    公开(公告)号:US20150231784A1

    公开(公告)日:2015-08-20

    申请号:US13741902

    申请日:2013-01-15

    Abstract: A threshold learning control system for learning a controller of a robot. The system includes a threshold learning module, a regime classifier, and an exploratory controller, each receiving sensory inputs from a sensor system of the robot. The regime classifier determines a control regime based on the received sensor inputs and communicates the control regime to the threshold learning module. The exploratory controller also receives control parameters from the threshold learning module. A control arbiter receives commands from the exploratory controller and limits from the threshold learning module, The control arbiter issues modified commands based on the received limits to the robot controller.

    Abstract translation: 一种用于学习机器人的控制器的阈值学习控制系统。 该系统包括阈值学习模块,状态分类器和探测控制器,每个控制器从机器人的传感器系统接收感觉输入。 政权分类器基于接收的传感器输入确定控制方案,并将控制状态传达给阈值学习模块。 探测控制器还从阈值学习模块接收控制参数。 控制仲裁器从探测控制器接收命令,并从阈值学习模块接收限制。控制仲裁器根据机器人控制器接收的限制发出修改的命令。

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