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    Methods and apparatus for an active pulsed 4D camera for image acquisition and analysis
    1.
    发明授权
    Methods and apparatus for an active pulsed 4D camera for image acquisition and analysis 有权

    公开(公告)号：US09866816B2

    公开(公告)日：2018-01-09

    申请号：US15059811

    申请日：2016-03-03

    Applicant: Facet Technology Corp.

    Inventor： James E. Retterath

    IPC: H04N13/02

    CPC classification number: H04N13/204 ,  G01S7/4863 ,  G01S17/107 ,  G01S17/89 ,  G01S17/936 ,  H04N5/232 ,  H04N13/257 ,  H04N13/271 ,  H04N13/296 ,  H04N2213/005

    Abstract: An active-pulsed four-dimensional camera system that utilizes a precisely-controlled light source produces spatial information and human-viewed or computer-analyzed images. The acquisition of four-dimensional optical information is performed at a sufficient rate to provide accurate image and spatial information for in-motion applications where the camera is in motion and/or objects being imaged, detected and classified are in motion. Embodiments allow for the reduction or removal of image-blocking conditions like fog, snow, rain, sleet and dust from the processed images. Embodiments provide for operation in daytime or nighttime conditions and can be utilized for day or night full-motion video capture with features like shadow removal. Multi-angle image analysis is taught as a method for classifying and identifying objects and surface features based on their optical reflective characteristics.

    METHODS AND APPARATUS FOR OBJECT DETECTION AND IDENTIFICATION IN A MULTIPLE DETECTOR LIDAR ARRAY
    3.
    发明申请
    METHODS AND APPARATUS FOR OBJECT DETECTION AND IDENTIFICATION IN A MULTIPLE DETECTOR LIDAR ARRAY 有权
    用于多个探测器激光雷达阵列中物体检测和识别的方法和装置

    公开(公告)号：US20150293228A1

    公开(公告)日：2015-10-15

    申请号：US14251254

    申请日：2014-04-11

    Applicant: Facet Technology Corp.

    Inventor： James E. Retterath ,  Robert A. Laumeyer

    IPC: G01S17/89

    CPC classification number: G01S7/4863 ,  G01S7/481 ,  G01S7/4815 ,  G01S7/4817 ,  G01S7/4865 ,  G01S7/497 ,  G01S17/10 ,  G01S17/102 ,  G01S17/42 ,  G01S17/89 ,  G01S17/936

    Abstract: LiDAR (light detection and ranging) systems use one or more emitters and a detector array to cover a given field of view where the emitters each emit a single pulse or a multi-pulse packet of light that is sampled by the detector array. On each emitter cycle the detector array will sample the incoming signal intensity at the pre-determined sampling frequency that generates two or more samples per emitted light packet to allow for volumetric analysis of the retroreflected signal portion of each emitted light packet as reflected by one or more objects in the field of view and then received by each detector.

    Abstract translation: LiDAR（光检测和测距）系统使用一个或多个发射器和检测器阵列来覆盖给定的视场，其中发射器各自发射由检测器阵列采样的单个脉冲或多个脉冲的光束。 在每个发射器周期上，检测器阵列将以预定的采样频率对输入的信号强度进行采样，该采样频率为每个发射的光分组产生两个或多个采样，以便对每个发射的光分组的回射信号部分进行体积分析， 更多的对象在视野中，然后由每个检测器接收。

    Methods and Apparatus for Increased Precision and Improved Range in a Multiple Detector LiDAR Array
    4.
    发明申请
    Methods and Apparatus for Increased Precision and Improved Range in a Multiple Detector LiDAR Array 审中-公开
    多检测器LiDAR阵列中提高精度和改进范围的方法和装置

    公开(公告)号：US20160259038A1

    公开(公告)日：2016-09-08

    申请号：US14639802

    申请日：2015-03-05

    Applicant: Facet Technology Corp.

    Inventor： James E. Retterath ,  Robert A. Laumeyer

    IPC: G01S7/48 ,  G01S17/89 ,  G01S17/10 ,  G01S7/486

    CPC classification number: G01S7/4802 ,  G01S7/4815 ,  G01S7/4865 ,  G01S17/10 ,  G01S17/89 ,  G01S17/936

    Abstract: Methods, systems, and computer program products for acquiring three-dimensional LiDAR information of a scene are disclosed. According to one aspect, acquiring three-dimensional information includes emitting N pulses in a sequence with each successive pulse having a relative time shift to the sampling reference, thus producing a reconstructed sampled signal with an effective sampling rate of N times the sampling reference. According to another aspect, acquiring three-dimensional information includes emitting two or more frequencies, the differences of each pair of differing frequencies being designated as Δf, and sampling the return information with the use of a sampling reference. Frequency analysis is performed on the sampled information to determine the reference times at which the Δf signals occur and the signal intensity of the Δf signals at each time. Systems as described herein can be utilized for autonomous vehicle navigation, collision avoidance and navigation systems for UAVs, roadway surface texture analysis, non-contact friction analysis, and in-motion deflectometer measurement.

    Abstract translation: 公开了用于获取场景的三维LiDAR信息的方法，系统和计算机程序产品。 根据一个方面，获取三维信息包括按照序列发射N个脉冲，每个连续脉冲具有到采样参考的相对时间偏移，从而产生具有采样参考的N倍的有效采样率的重建采样信号。 根据另一方面，获取三维信息包括发射两个或更多个频率，每对不同频率的差被指定为Δf，并且使用采样参考来对返回信息进行采样。 对采样信息执行频率分析，以确定Δf信号出现的参考时间和每次Δf信号的信号强度。 本文所述的系统可用于自主车辆导航，避碰和无人机的导航系统，道路表面纹理分析，非接触摩擦分析和行进偏转计测量。

    METHODS AND APPARATUS FOR AN ACTIVE PULSED 4D CAMERA FOR IMAGE ACQUISITION AND ANALYSIS
    5.
    发明申请
    METHODS AND APPARATUS FOR AN ACTIVE PULSED 4D CAMERA FOR IMAGE ACQUISITION AND ANALYSIS 有权

    公开(公告)号：US20170257617A1

    公开(公告)日：2017-09-07

    申请号：US15059811

    申请日：2016-03-03

    Applicant: Facet Technology Corp.

    Inventor： James E. Retterath

    IPC: H04N13/02

    CPC classification number: H04N13/204 ,  G01S7/4863 ,  G01S17/107 ,  G01S17/89 ,  G01S17/936 ,  H04N5/232 ,  H04N13/257 ,  H04N13/271 ,  H04N13/296 ,  H04N2213/005

    Abstract: An active-pulsed four-dimensional camera system that utilizes a precisely-controlled light source produces spatial information and human-viewed or computer-analyzed images. The acquisition of four-dimensional optical information is performed at a sufficient rate to provide accurate image and spatial information for in-motion applications where the camera is in motion and/or objects being imaged, detected and classified are in motion. Embodiments allow for the reduction or removal of image-blocking conditions like fog, snow, rain, sleet and dust from the processed images. Embodiments provide for operation in daytime or nighttime conditions and can be utilized for day or night full-motion video capture with features like shadow removal. Multi-angle image analysis is taught as a method for classifying and identifying objects and surface features based on their optical reflective characteristics.

    System and Assessment of Reflective Objects Along a Roadway
    6.
    发明申请
    System and Assessment of Reflective Objects Along a Roadway 有权
    巷道反光物体的系统和评估

    公开(公告)号：US20160377529A1

    公开(公告)日：2016-12-29

    申请号：US15148722

    申请日：2016-05-06

    Applicant: Facet Technology Corp.

    Inventor： James E. Retterath ,  Robert A. Laumeyer

    IPC: G01N21/25 ,  G01N21/55 ,  G06K9/46 ,  G06K9/00 ,  G06K9/20 ,  G01S17/06 ,  G01N21/84

    CPC classification number: G01N21/251 ,  G01N21/55 ,  G01N21/84 ,  G01N2201/06113 ,  G01N2201/102 ,  G01N2201/12 ,  G01S17/06 ,  G06K9/00791 ,  G06K9/00818 ,  G06K9/2036 ,  G06K9/4652 ,  G06K9/4661 ,  G08G1/096758 ,  G08G1/096783

    Abstract: A system for classifying different types of sheeting materials of road signs depicted in a videostream compares estimated retroreflectivity values against known minimum retroreflectivity values for each of a plurality of colors. Once a road sign has been identified in the videostream, the frames associated with that road sign are analyzed to determine each of a plurality of colors present on the road sign. An estimated retroreflectivity for each of the plurality of colors present on the road sign is then determined. By comparing the estimated retroreflectivity for each of the plurality of colors against known minimum retroreflectivity values for the corresponding color for different types of sheeting materials, an accurate determination of the classification of the sheeting material of the road sign is established. Preferably, certain conditions of gross failure of the sheeting material are filtered out before classification of the sheeting material is determined.

    Abstract translation: 用于分类视频流中描绘的道路标志的不同类型的片材的系统将估计的后向反射率值与多种颜色中的每一种的已知最小后向反射率值进行比较。 一旦在视频流中识别出路标，则分析与该道路标志相关联的帧以确定路标上存在的多种颜色中的每一种。 然后确定道路标志上存在的多种颜色中的每一种的估计的后向反射率。 通过将针对不同类型的片材的相应颜色的已知最小反射率值与多种颜色中的每一种的估计后向反射率进行比较，建立道路标志的片材的分类的准确确定。 优选地，在确定片材材料的分级之前，将片材材料的严重破坏的某些条件过滤掉。

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