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1.发明申请METHODS AND SYSTEMS FOR VEHICLE CLASSIFICATION FROM LASER SCANS USING GLOBAL ALIGNMENT 有权使用全球对准的激光扫描仪进行车辆分类的方法和系统公开(公告)号：US20150346326A1
公开(公告)日：2015-12-03
申请号：US14287538
申请日：2014-05-27
Applicant: Xerox Corporation
Inventor： Boris Chidlovskii , Gabriela Csurka , Jose Antonio Rodriguez Serrano
CPC classification number: G01S17/88 , G01S7/4802 , G01S17/42 , G01S17/89 , G06K9/00805 , G06K9/6206 , G06T7/00 , G06T7/30 , G06T2207/10028
Abstract: A system and method for classifying vehicles from laser scan data by receiving laser scan data corresponding to multiple vehicles from a laser scanner; extracting vehicle shapes corresponding to the multiple vehicles based on the laser scan data; aligning the vehicle shapes; and generating vehicle profiles based on the aligned vehicle shapes. The system and method can further include aligning the vehicle shapes using sequence kernels, such as global alignment kernels, and constraining the sequence kernels based on determined weights.
Abstract translation: 一种用于通过从激光扫描仪接收对应于多个车辆的激光扫描数据来对车辆进行激光扫描数据分类的系统和方法; 基于所述激光扫描数据提取与所述多个车辆相对应的车辆形状; 对准车辆形状; 以及基于对齐的车辆形状产生车辆轮廓。 系统和方法还可以包括使用诸如全局对准内核之类的序列内核来对齐车辆形状，并且基于确定的权重来约束序列内核。
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2.发明申请VEHICLE CLASSIFICATION FROM LASER SCANNERS USING FISHER AND PROFILE SIGNATURES 有权使用渔具和轮廓标志的激光扫描仪的车辆分类公开(公告)号：US20150046119A1
公开(公告)日：2015-02-12
申请号：US13963472
申请日：2013-08-09
Applicant: Xerox Corporation
Inventor： Harsimrat Singh Sandhawalia , Jose Antonio Rodriguez Serrano , Herve Poirier , Gabriela Csurka
IPC: G01B11/24
CPC classification number: G01B11/24 , G01B11/2518 , G06K9/0014 , G06K9/00147 , G06K9/00187 , G06K9/00214 , G06K9/4676 , G06K9/54 , G06K9/6247
Abstract: Methods, systems and processor-readable media for vehicle classification. In general, one or more vehicles can be scanned utilizing a laser scanner to compile data indicative of an optical profile of the vehicle(s). The optical profile associated with the vehicle(s) is then pre-processed. Particular features are extracted from the optical profile following pre-processing of the optical profile. The vehicle(s) can be then classified based on the particular features extracted from the optical feature. A segmented laser profile is treated as an image and profile features that integrate the signal in one of the two directions of the image and Fisher vectors which aggregate statistics of local “patches” of the image are computed and utilized as part of the extraction and classification process.
Abstract translation: 用于车辆分类的方法，系统和处理器可读介质。 通常，可以利用激光扫描器扫描一个或多个车辆，以编译指示车辆的光学轮廓的数据。 然后与车辆相关联的光学轮廓被预处理。 在光学轮廓的预处理之后，从光学轮廓提取特定特征。 然后可以基于从光学特征提取的特定特征对车辆进行分类。 分割的激光轮廓被视为图像和轮廓特征，其将信号整合在图像的两个方向中的一个方向上，并且汇总图像的局部“斑块”的统计信息的Fisher向量被计算并用作提取和分类的一部分 处理。
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3.发明授权Methods and systems for vehicle classification from laser scans using global alignment 有权使用全局对齐的激光扫描进行车辆分类的方法和系统公开(公告)号：US09519060B2
公开(公告)日：2016-12-13
申请号：US14287538
申请日：2014-05-27
Applicant: Xerox Corporation
Inventor： Boris Chidlovskii , Gabriela Csurka , Jose Antonio Rodriguez Serrano
CPC classification number: G01S17/88 , G01S7/4802 , G01S17/42 , G01S17/89 , G06K9/00805 , G06K9/6206 , G06T7/00 , G06T7/30 , G06T2207/10028
Abstract: A system and method for classifying vehicles from laser scan data by receiving laser scan data corresponding to multiple vehicles from a laser scanner; extracting vehicle shapes corresponding to the multiple vehicles based on the laser scan data; aligning the vehicle shapes; and generating vehicle profiles based on the aligned vehicle shapes. The system and method can further include aligning the vehicle shapes using sequence kernels, such as global alignment kernels, and constraining the sequence kernels based on determined weights.
Abstract translation: 一种用于通过从激光扫描仪接收对应于多个车辆的激光扫描数据来对车辆进行激光扫描数据分类的系统和方法; 基于所述激光扫描数据提取与所述多个车辆相对应的车辆形状; 对准车辆形状; 以及基于对齐的车辆形状产生车辆轮廓。 系统和方法还可以包括使用诸如全局对准内核之类的序列内核来对齐车辆形状，并且基于确定的权重来约束序列内核。
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公开(公告)号：US09683836B2
公开(公告)日：2017-06-20
申请号：US13963472
申请日：2013-08-09
Applicant: Xerox Corporation
Inventor： Harsimrat Singh Sandhawalia , Jose Antonio Rodriguez Serrano , Herve Poirier , Gabriela Csurka
CPC classification number: G01B11/24 , G01B11/2518 , G06K9/0014 , G06K9/00147 , G06K9/00187 , G06K9/00214 , G06K9/4676 , G06K9/54 , G06K9/6247
Abstract: Methods, systems and processor-readable media for vehicle classification. In general, one or more vehicles can be scanned utilizing a laser scanner to compile data indicative of an optical profile of the vehicle(s). The optical profile associated with the vehicle(s) is then pre-processed. Particular features are extracted from the optical profile following pre-processing of the optical profile. The vehicle(s) can be then classified based on the particular features extracted from the optical feature. A segmented laser profile is treated as an image and profile features that integrate the signal in one of the two directions of the image and Fisher vectors which aggregate statistics of local “patches” of the image are computed and utilized as part of the extraction and classification process.
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