会员体验
专利管家(专利管理)
工作空间(专利管理)
风险监控(情报监控)
数据分析(专利分析)
侵权分析(诉讼无效)
联系我们
交流群
官方交流:
QQ群: 891211   
微信请扫码    >>>
现在联系顾问~
热词
    • 2. 发明申请
    • Autonomous Mobile System
    • 自主移动系统
    • US20140309841A1
    • 2014-10-16
    • US14359335
    • 2011-11-22
    • Yoshitaka HaraAkira OshimaRyoko IchinoseKenjiro Yamamoto
    • Yoshitaka HaraAkira OshimaRyoko IchinoseKenjiro Yamamoto
    • G01C21/28G05D1/02
    • G01C21/28G01C21/30G01C21/32G01S7/4808G01S17/89G05D1/024G05D1/0248G05D1/0251G05D1/0274G05D2201/0213
    • The invention includes a shape detector and travel distance detector for measuring whether objects are present in set regions determined by dividing a three-dimensional space into a plurality of segments, a storage device into which map data is stored that indicates a region of the set regions that has been set as having a stationary object in the region, a determining section that determines, from frequency of the object detection by the shape detector during a predetermined time for each of the set regions, whether the object that has been detected in each set region is a stationary object or a moving object, and a localizer that localizes a vehicle “v” by matching the region that the determining section has determined to have a stationary object in the region, and the map data. Thus, highly accurate detection of positions can be realized, even in an environment with moving objects.
    • 本发明包括一种形状检测器和行进距离检测器,用于测量通过将三维空间划分成多个段确定的设定区域中的物体是否存在;存储设备,其中存储有指示设定区域的区域的地图数据 在该区域中被设定为具有静止物体的判定部,根据由所述形状检测器在每个所述设定区域的规定时间内的物体检测的频率,判断各组中是否检测到的物体 区域是固定物体或运动物体,以及通过使确定部分已经确定为具有该区域中的静止物体的区域来匹配车辆“v”的定位器和地图数据。 因此,即使在具有移动物体的环境中也能够高精度地检测位置。
    • 3. 发明申请
    • Road Surface Shape Recognition System and Autonomous Mobile Apparatus Using Same
    • 路面形状识别系统及其使用的自动移动设备
    • US20130258108A1
    • 2013-10-03
    • US13991463
    • 2010-12-24
    • Yukihiko OnoRyoko IchinoseKenjiro YamamotoYoshitaka HaraAkira Oshima
    • Yukihiko OnoRyoko IchinoseKenjiro YamamotoYoshitaka HaraAkira Oshima
    • H04N7/18
    • H04N7/18B60W40/06B60W2420/40G01S17/89
    • Disclosed is a road surface shape recognition system adapted to recognize a shape of a road surface and obstacles present thereupon, even when the road surface is illuminated with extraneous light of a plurality of wavelengths from illumination lamps, street lamps, electric signboards, and the like.The road surface shape recognition system for recognizing the shape of the road surface ahead of a vehicle includes: wavelength region calculation means for detecting the extraneous light from a plurality of areas on the road surface, and thereby determining a wavelength region of the extraneous light having the lowest intensity; irradiation means for irradiating each of the areas on the road surface selectively with light of one of a plurality of wavelength regions; irradiation control means for selecting, from the light of the plurality of wavelength regions that can be selectively irradiated from the irradiation means, light having a wavelength corresponding to the wavelength region of the weakest extraneous light, the wavelength region being determined by the wavelength region calculation means, and makes the irradiation means emit the selected light; imaging means for imaging the road surface; and road surface shape calculation means for calculating the shape of the road surface from an image that the imaging means acquires when the irradiation means is irradiating one of the areas on the road surface with the light of the wavelength selected by the irradiation control means.
    • 公开了一种路面形状识别系统,其适用于识别路面形状和存在于其中的障碍物,即使当照明灯,路灯,电招牌等的多个波长的外来光照射路面时, 。 用于识别车辆前方的路面的形状的路面形状识别系统包括:波长区域计算单元,其检测来自路面上的多个区域的外来光,由此确定外部光的波长范围, 最低强度; 照射装置,用于选择性地用多个波长区域中的一个的光照射路面上的每个区域; 照射控制装置,用于从能够从照射装置选择性地照射的多个波长区域的光中选择具有与最弱外部光的波长区域相对应的波长的光,该波长区域由波长区域计算 装置,并使照射装置发射所选择的光; 用于对路面成像的成像装置; 以及路面形状计算装置,用于当照射装置用照射控制装置选择的波长的光照射路面上的一个区域时,从成像装置获取的图像中计算路面的形状。
    • 8. 发明授权
    • Locus correcting method, locus correcting apparatus, and mobile object equipment
    • 轨迹校正方法,轨迹校正装置和移动物体设备
    • US09182235B2
    • 2015-11-10
    • US14118899
    • 2011-05-20
    • Yoshitaka HaraAkira OshimaKenjiro YamamotoYuji Hosoda
    • Yoshitaka HaraAkira OshimaKenjiro YamamotoYuji Hosoda
    • G01C21/00G01C21/30
    • G01C21/005G01C21/30
    • Calculating a highly accurate locus is a goal. An administrative part (20) for correcting a traveling locus of a mobile object (V) is characterized by including an evaluation function generating unit (21) that sets a plurality of nodes on locus data of the mobile object (V) acquired by a wheel rotation quantity measuring unit (16), correlates position data of the mobile object (V) acquired by the wheel rotation quantity measuring unit (16) to the nodes and correlates position data of the mobile object (V) acquired by other units of measurement means than the wheel rotation quantity measuring unit to the nodes, represents positions at which the nodes may occur by probability, represents positions at which position data correlated to the nodes may occur by probability, and calculates an evaluation function including the nodes and the position data as variables, based on each probability; and a locus optimization calculation unit (22) that calculates a locus on which each node occurs with largest probability, based on the evaluation function.
    • 计算高精度的轨迹是一个目标。 用于校正移动物体(V)的行驶轨迹的管理部分(20)的特征在于包括评估函数生成单元(21),其设置由车轮获取的移动体(V)的轨迹数据上的多个节点 旋转量测量单元(16)将由车轮旋转量测量单元(16)获取的移动体(V)的位置数据与节点相关联,并且将由测量装置的其他单元获取的移动体(V)的位置数据相关联, 相对于节点的车轮旋转量测量单元,表示以概率出现节点的位置,表示通过概率与节点相关的位置数据的位置,并且计算包括节点和位置数据的评估函数, 变量,基于每个概率; 以及轨迹优化计算单元,其基于所述评估函数,以最大概率计算出每个节点出现的轨迹。
    • 9. 发明申请
    • LOCUS CORRECTING METHOD, LOCUS CORRECTING APPARATUS, AND MOBILE OBJECT EQUIPMENT
    • 位置校正方法,位置校正装置和移动对象设备
    • US20140088863A1
    • 2014-03-27
    • US14118899
    • 2011-05-20
    • Yoshitaka HaraAkira OshimaKenjiro YamamotoYuji Hosoda
    • Yoshitaka HaraAkira OshimaKenjiro YamamotoYuji Hosoda
    • G01C21/00
    • G01C21/005G01C21/30
    • Calculating a highly accurate locus is a goal. An administrative part (20) for correcting a traveling locus of a mobile object (V) is characterized by including an evaluation function generating unit (21) that sets a plurality of nodes on locus data of the mobile object (V) acquired by a wheel rotation quantity measuring unit (16), correlates position data of the mobile object (V) acquired by the wheel rotation quantity measuring unit (16) to the nodes and correlates position data of the mobile object (V) acquired by other units of measurement means than the wheel rotation quantity measuring unit to the nodes, represents positions at which the nodes may occur by probability, represents positions at which position data correlated to the nodes may occur by probability, and calculates an evaluation function including the nodes and the position data as variables, based on each probability; and a locus optimization calculation unit (22) that calculates a locus on which each node occurs with largest probability, based on the evaluation function.
    • 计算高精度的轨迹是一个目标。 用于校正移动物体(V)的行驶轨迹的管理部分(20)的特征在于包括评估函数生成单元(21),其设置由车轮获取的移动体(V)的轨迹数据上的多个节点 旋转量测量单元(16)将由车轮旋转量测量单元(16)获取的移动体(V)的位置数据与节点相关联,并且将由测量装置的其他单元获取的移动体(V)的位置数据相关联, 相对于节点的车轮旋转量测量单元,表示以概率出现节点的位置,表示通过概率与节点相关的位置数据的位置,并且计算包括节点和位置数据的评估函数, 变量,基于每个概率; 以及轨迹优化计算单元,其基于所述评估函数,以最大概率计算出每个节点出现的轨迹。