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
    • LANE TRACKING SYSTEM
    • LANE跟踪系统
    • US20130116854A1
    • 2013-05-09
    • US13289517
    • 2011-11-04
    • Nikolai K. MoshchukShuqing ZengXingping ChenBakhtiar Brian Litkouhi
    • Nikolai K. MoshchukShuqing ZengXingping ChenBakhtiar Brian Litkouhi
    • G06F7/00
    • B60W30/12B60W2420/42
    • A lane tracking system for tracking the position of a vehicle within a lane includes a camera configured to provide a video feed representative of a field of view and a video processor configured to receive the video feed from the camera and to generate latent video-based position data indicative of the position of the vehicle within the lane. The system further includes a vehicle motion sensor configured to generate vehicle motion data indicative of the motion of the vehicle, and a lane tracking processor. The lane tracking processor is configured to receive the video-based position data, updated at a first frequency; receive the sensed vehicle motion data, updated at a second frequency; estimate the position of the vehicle within the lane from the sensed vehicle motion data; and fuse the video-based position data with the estimate of the vehicle position within the lane using a Kalman filter.
    • 用于跟踪车道在车道内的位置的车道跟踪系统包括被配置为提供表示视野的视频馈送的照相机和被配置为从照相机接收视频馈送并且产生潜在视频的位置的视频处理器 指示车辆在车道内的位置的数据。 该系统还包括被配置为产生指示车辆的运动的车辆运动数据的车辆运动传感器和车道跟踪处理器。 车道跟踪处理器被配置为接收以第一频率更新的基于视频的位置数据; 接收以第二频率更新的感测车辆运动数据; 从感测的车辆运动数据估计车道在车道内的位置; 并使用卡尔曼滤波器将基于视频的位置数据与车道内的车辆位置的估计融合。
    • 3. 发明授权
    • Lane tracking system
    • 车道跟踪系统
    • US09139203B2
    • 2015-09-22
    • US13289517
    • 2011-11-04
    • Nikolai K. MoshchukShuqing ZengXingping ChenBakhtiar Brian Litkouhi
    • Nikolai K. MoshchukShuqing ZengXingping ChenBakhtiar Brian Litkouhi
    • G06F19/00B60W30/12
    • B60W30/12B60W2420/42
    • A lane tracking system for tracking the position of a vehicle within a lane includes a camera configured to provide a video feed representative of a field of view and a video processor configured to receive the video feed from the camera and to generate latent video-based position data indicative of the position of the vehicle within the lane. The system further includes a vehicle motion sensor configured to generate vehicle motion data indicative of the motion of the vehicle, and a lane tracking processor. The lane tracking processor is configured to receive the video-based position data, updated at a first frequency; receive the sensed vehicle motion data, updated at a second frequency; estimate the position of the vehicle within the lane from the sensed vehicle motion data; and fuse the video-based position data with the estimate of the vehicle position within the lane using a Kalman filter.
    • 用于跟踪车道在车道内的位置的车道跟踪系统包括被配置为提供表示视野的视频馈送的照相机和被配置为从照相机接收视频馈送并且产生潜在视频的位置的视频处理器 指示车辆在车道内的位置的数据。 该系统还包括被配置为产生指示车辆的运动的车辆运动数据的车辆运动传感器和车道跟踪处理器。 车道跟踪处理器被配置为接收以第一频率更新的基于视频的位置数据; 接收以第二频率更新的感测车辆运动数据; 从感测的车辆运动数据估计车道在车道内的位置; 并使用卡尔曼滤波器将基于视频的位置数据与车道内的车辆位置的估计融合。
    • 4. 发明申请
    • FUSION OF OBSTACLE DETECTION USING RADAR AND CAMERA
    • 使用雷达和摄像机进行障碍物检测的融合
    • US20140035775A1
    • 2014-02-06
    • US13563993
    • 2012-08-01
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • G01S13/86G01S13/93
    • G01S13/931G01S13/867G06K9/00805G06K9/629
    • A vehicle obstacle detection system includes an imaging system for capturing objects in a field of view and a radar device for sensing objects in a substantially same field of view. The substantially same field of view is partitioned into an occupancy grid having a plurality of observation cells. A fusion module receives radar data from the radar device and imaging data from the imaging system. The fusion module projects the occupancy grid and associated radar data onto the captured image. The fusion module extracts features from each corresponding cell using sensor data from the radar device and imaging data from the imaging system. A primary classifier determines whether an extracted feature extracted from a respective observation cell is an obstacle.
    • 车辆障碍物检测系统包括用于在视野中捕获物体的成像系统和用于在基本相同的视场中感测物体的雷达装置。 基本上相同的视场划分成具有多个观察单元的占用网格。 融合模块从雷达装置接收雷达数据并从成像系统接收成像数据。 融合模块将占用网格和相关的雷达数据投影到捕获的图像上。 融合模块使用来自雷达装置的传感器数据和来自成像系统的成像数据从每个对应的小区中提取特征。 主分类器确定从相应观察单元提取的提取特征是否是障碍物。
    • 5. 发明授权
    • Fusion of obstacle detection using radar and camera
    • 使用雷达和摄像机融合障碍物检测
    • US09429650B2
    • 2016-08-30
    • US13563993
    • 2012-08-01
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • Shuqing ZengWende ZhangBakhtiar Brian Litkouhi
    • G01S13/86G01S13/93G06K9/00G06K9/62
    • G01S13/931G01S13/867G06K9/00805G06K9/629
    • A vehicle obstacle detection system includes an imaging system for capturing objects in a field of view and a radar device for sensing objects in a substantially same field of view. The substantially same field of view is partitioned into an occupancy grid having a plurality of observation cells. A fusion module receives radar data from the radar device and imaging data from the imaging system. The fusion module projects the occupancy grid and associated radar data onto the captured image. The fusion module extracts features from each corresponding cell using sensor data from the radar device and imaging data from the imaging system. A primary classifier determines whether an extracted feature extracted from a respective observation cell is an obstacle.
    • 车辆障碍物检测系统包括用于在视野中捕获物体的成像系统和用于在基本相同的视场中感测物体的雷达装置。 基本上相同的视场划分成具有多个观察单元的占用网格。 融合模块从雷达装置接收雷达数据并从成像系统接收成像数据。 融合模块将占用网格和相关的雷达数据投影到捕获的图像上。 融合模块使用来自雷达装置的传感器数据和来自成像系统的成像数据从每个对应的小区中提取特征。 主分类器确定从相应观察单元提取的提取特征是否是障碍物。
    • 7. 发明授权
    • System and method for calculating an instantaneous fuel economy for a vehicle
    • 用于计算车辆瞬时燃油经济性的系统和方法
    • US08903637B2
    • 2014-12-02
    • US13071390
    • 2011-03-24
    • Jin-Woo LeeBakhtiar Brian LitkouhiElizabeth S. Nunning
    • Jin-Woo LeeBakhtiar Brian LitkouhiElizabeth S. Nunning
    • G06F7/00G07C5/08B60W50/00
    • G07C5/085B60W50/0097B60W2520/10B60W2520/105
    • A system for calculating an instantaneous fuel economy for a vehicle is disclosed herein. The system includes, but is not limited to, a speed sensor that is configured to determine a current speed of the vehicle, an acceleration sensor that is configured to determine a current acceleration of the vehicle, a fuel sensor that is configured to determine a current fuel consumption rate of an internal combustion engine of the vehicle, a display unit, and a processor. The processor is communicatively coupled with the speed sensor, the acceleration sensor, and the fuel sensor, and is operatively coupled with the display unit. The processor is configured to determine the instantaneous fuel economy of the vehicle based on information obtained from the speed sensor, the acceleration sensor, and the fuel sensor. The processor is further configured to instruct the display unit to display the instantaneous fuel economy.
    • 本文公开了一种用于计算车辆的瞬时燃料经济性的系统。 该系统包括但不限于被配置为确定车辆的当前速度的速度传感器,被配置为确定车辆的当前加速度的加速度传感器,被配置为确定车辆的当前速度的燃料传感器 车辆的内燃机的燃料消耗率,显示单元和处理器。 处理器与速度传感器,加速度传感器和燃料传感器通信地耦合,并且与显示单元可操作地耦合。 处理器被配置为基于从速度传感器,加速度传感器和燃料传感器获得的信息来确定车辆的瞬时燃料经济性。 处理器还被配置为指示显示单元显示瞬时燃料经济性。
    • 8. 发明授权
    • Lane tracking system with active rear-steer
    • 车道跟踪系统具有主动后转向
    • US08903607B2
    • 2014-12-02
    • US13348091
    • 2012-01-11
    • Jin-Woo LeeNikolai K. MoshchukShih-Ken ChenBakhtiar Brian Litkouhi
    • Jin-Woo LeeNikolai K. MoshchukShih-Ken ChenBakhtiar Brian Litkouhi
    • G05D1/02
    • B62D15/0255
    • A lane tracking system for a vehicle includes a front steering controller, a rear steering controller, and a lane tracking processor. The front steering controller is configured to rotate a front wheel of the vehicle through a front steering angle in response to a front steering torque command, and the rear steering controller is configured to rotate a rear wheel of the vehicle through a rear steering angle in response to a rear steering torque command. The lane tracking processor is configured to determine a desired course of the vehicle along a roadway, estimate a trajectory of the vehicle based on sensed vehicle motion, compute an error between the determined desired course and the estimated trajectory, and provide a front steering torque command to the front steering controller, and a rear steering torque command to the rear steering controller to minimize the computed error.
    • 用于车辆的车道跟踪系统包括前转向控制器,后转向控制器和车道跟踪处理器。 前转向控制器构造成响应于前转向转矩指令而通过前转向角旋转车辆的前轮,并且后转向控制器被配置为响应于后转向角来旋转车辆的后轮 到后转向转矩指令。 车道跟踪处理器被配置为确定沿着道路的车辆的期望路线,基于感测的车辆运动来估计车辆的轨迹,计算所确定的期望路线和估计的轨迹之间的误差,并且提供前转向转矩指令 到后转向控制器的后转向转矩指令,以使计算出的误差最小化。