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1. 发明申请

WO2015108882A1 SMART NECKLACE WITH STEREO VISION AND ONBOARD PROCESSING 审中-公开
标题翻译：具有立体视觉和板载处理的SMART NECKLACE
公开(公告)号：WO2015108882A1
公开(公告)日：2015-07-23
申请号：PCT/US2015/011252
申请日：2015-01-13
申请人： TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.
发明人： MOORE, Douglas A. , DJUGASH, Joseph M.A. , OTA, Yasuhiro
IPC分类号： G06F3/01
CPC分类号： A61H3/061 , A44C15/0015 , A61H3/06 , A61H2003/063 , G01C21/206 , G01C21/3602 , G06F1/163 , G08B3/00 , G08B6/00 , G08B13/19621 , G08B21/12
摘要： A wearable neck device includes an IMU coupled to the wearable neck device and adapted to detect inertial measurement data and a GPS coupled to the device and adapted to detect location data. The wearable neck device further includes a camera adapted to detect image data and a memory adapted to store data. The wearable neck device further includes a processor adapted to recognize an object in the surrounding environment by analyzing the data. The processor can determine a desirable action based on the data and a current time or day. The processor can determine a destination based on the determined desirable action. The processor can determine a navigation path based on the determined destination and the data. The processor is further adapted to determine output based on the navigation path. The wearable neck device further includes a speaker adapted to provide audio information to the user.
摘要翻译：可穿戴颈部装置包括耦合到可穿戴颈部装置并适于检测惯性测量数据的IMU和耦合到该装置的适于检测位置数据的GPS。可佩戴颈部装置还包括适于检测图像数据的相机和适于存储数据的存储器。可佩戴颈部装置还包括适于通过分析数据来识别周围环境中的物体的处理器。处理器可以基于数据和当前时间或日期来确定期望的动作。处理器可以基于确定的期望动作来确定目的地。处理器可以基于确定的目的地和数据来确定导航路径。处理器还适于基于导航路径确定输出。可穿戴式颈部装置还包括适于向用户提供音频信息的扬声器。

2. 发明申请

WO2015108877A1 SMART NECKLACE WITH STEREO VISION AND ONBOARD PROCESSING 审中-公开
标题翻译：具有立体视觉和板载处理的SMART NECKLACE
公开(公告)号：WO2015108877A1
公开(公告)日：2015-07-23
申请号：PCT/US2015/011242
申请日：2015-01-13
申请人： TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC.
发明人： DAYAL, Rajiv , MOORE, Douglas A. , OTA, Yasuhiro , DJUGASH, Joseph M.A. , CHEN, Tiffany L. , YAMAMOTO, Kenichi
IPC分类号： H04N5/225 , H04N7/18
CPC分类号： A61H3/061 , A44C15/0015 , A61H3/06 , A61H2003/063 , G01C21/206 , G01C21/3602 , G06F1/163 , G08B3/00 , G08B6/00 , G08B13/19621 , G08B21/12
摘要： A smart necklace includes a body defining at least one cavity and having a neck portion and first and a second side portions. The necklace includes a pair of stereo cameras that is configured to detect image data including depth information corresponding to a surrounding environment of the smart necklace. The necklace further includes a positioning sensor configured to detect positioning data corresponding to a positioning of the smart necklace. The necklace includes a non-transitory memory positioned in the at least one cavity and configured to store map data and object data. The smart necklace also includes a processor positioned in the at least one cavity, coupled to the pair of stereo cameras, the positioning sensor and the non-transitory memory. The processor is configured to determine output data based on the image data, the positioning data, the map data and the object data.
摘要翻译：智能项链包括限定至少一个空腔并具有颈部以及第一和第二侧部的主体。该项链包括一对立体相机，被配置为检测包括对应于智能项链的周围环境的深度信息的图像数据。该项链还包括定位传感器，该定位传感器被配置为检测对应于该智能项链的定位的定位数据。所述项链包括位于所述至少一个腔中的非瞬时记忆，并被配置为存储地图数据和对象数据。该智能项链还包括位于至少一个空腔中的处理器，该处理器耦合到一对立体摄像机，定位传感器和非暂时存储器。处理器被配置为基于图像数据，定位数据，地图数据和对象数据来确定输出数据。

3. 发明申请

WO2014151035A1 COMPUTER-BASED METHOD AND SYSTEM OF DYNAMIC CATEGORY OBJECT RECOGNITION 审中-公开
标题翻译：基于计算机的方法和动态类目标识别系统
公开(公告)号：WO2014151035A1
公开(公告)日：2014-09-25
申请号：PCT/US2014/024806
申请日：2014-03-12
申请人： TOYOTA MOTOR ENGINEERING & MANUFACTURING NORTH AMERICA, INC. , AMMA, Ayako , DJUGASH, Joseph M.A.
发明人： AMMA, Ayako , DJUGASH, Joseph M.A.
IPC分类号： G06F17/00 , G06T7/00
CPC分类号： G06T7/0046 , G06T7/75 , G06T2207/10028 , G06T2207/20081
摘要： A computer-based method/system of dynamic category object recognition for estimating pose and/or positioning of target objects and target object's parts. The method/system may recognize a target object and the target object's parts. The method/system may segment and extract data corresponding to the target object and the target object's parts, and estimate the pose and positioning of the target object and the target object's parts using a plurality of stored object models. The dynamic method/system may supplement or modify the parameters of the plurality of stored object models and/or store learned object models. The learned object models assist in recognizing and estimating pose and/or positioning of newly encountered objects more accurately and with fewer processing steps. The method and system may include a processor, a sensor, an external device, a communications unit, and a database.
摘要翻译：一种基于计算机的动态类别对象识别方法/系统，用于估计目标对象和目标对象部件的姿态和/或定位。方法/系统可以识别目标对象和目标对象的部分。方法/系统可以分割和提取与目标对象和目标对象的部分相对应的数据，并且使用多个存储的对象模型来估计目标对象和目标对象的部件的姿态和位置。动态方法/系统可以补充或修改多个存储对象模型的参数和/或存储学习对象模型。所学习的对象模型有助于更准确地识别和估计新遇到的对象的姿态和/或定位，并且具有较少的处理步骤。该方法和系统可以包括处理器，传感器，外部设备，通信单元和数据库。

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