公开(公告)号：US20150161796A1

公开(公告)日：2015-06-11

申请号：US14309146

申请日：2014-06-19

Applicant: Hyundai Motor Company

Inventor： Eun Jin Choi ,  Jae Kwang Kim ,  Jin Hak Kim ,  Wan Jae Lee ,  Kang Hoon Lee

IPC: G06T7/00 ,  H04N7/18 ,  H04N5/33

CPC classification number: H04N5/33 ,  G06K9/00362 ,  G06K9/00805 ,  G06K9/4642

Abstract: A method and a device for recognizing a pedestrian and a vehicle supporting the same are provided. The method includes collecting, by a controller, a far-infrared image using a far-infrared imaging device and detecting a pedestrian candidate group from the far-infrared image. In addition, the method includes extracting, by the controller, pedestrian features based on previously normalized pedestrian database (DB) learning and comparing the pedestrian features with the pedestrian DB learning results to determine similarity. The controller is configured to perform pedestrian recognition based on the comparison result.

Abstract translation: 提供了一种用于识别行人和支撑其的车辆的方法和装置。 该方法包括使用远红外成像装置通过控制器收集远红外图像，并从远红外图像检测行人候补组。 另外，该方法包括：基于先前归一化的行人数据库（DB）学习并将行人特征与行人DB学习结果进行比较，来提取由所述控制器的行人特征，以确定相似度。 控制器被配置为基于比较结果执行行人识别。

公开(公告)号：US11092692B2

公开(公告)日：2021-08-17

申请号：US16693240

申请日：2019-11-23

Applicant: Hyundai Motor Company ,  Kia Motors Corporation

Inventor： Hae Ryong Lee ,  Kang Hoon Lee ,  Woo Joong Kim ,  Ji Un Kim ,  Eun Jin Choi ,  Sung Woo Choi

IPC: G01S17/931 ,  G01C21/36 ,  G01S17/89

Abstract: An apparatus for recognizing a location in an autonomous vehicle is provided. The apparatus includes a light detection and ranging (LiDAR) sensor that generates a LiDAR contour of a fixed structure located at the roadside and a LiDAR contour of a variable structure. A controller then detects a location of the autonomous vehicle based on the LiDAR contour of the fixed structure and the LiDAR contour of the variable contour, generated by the LiDAR sensor.

公开(公告)号：US09207320B2

公开(公告)日：2015-12-08

申请号：US13713820

申请日：2012-12-13

Applicant: Hyundai Motor Company

Inventor： Jin Hak Kim ,  Kyung Ho Yoo ,  Yoon Ho Jang ,  Seong Su Im ,  Hui Sung Lee ,  Kyoung Moo Min ,  Eun Jin Choi

IPC: G08G1/16 ,  G01S7/292 ,  G01S7/41 ,  G01S13/93 ,  G01S13/91 ,  G01S13/86

CPC classification number: G01S13/93 ,  G01S7/292 ,  G01S7/41 ,  G01S13/86 ,  G01S13/91 ,  G01S13/931 ,  G08G1/16

Abstract: The present invention provides a method and a system for producing a classifier for recognizing an obstacle, including a processor configured to: display surface data of a plurality of obstacles measured by a distance measurement sensor in a two-dimensional (2D) coordinate system; group and classify the surface data displayed in the 2D coordinate system for each obstacle; setting a plurality of feature references to analyze region based features displayed for each obstacle in the 2D coordinate system and calculate the respective feature references for each obstacle grouping; and producing the classifier by applying a weight to each of the feature references.

Abstract translation: 本发明提供一种用于产生用于识别障碍物的分类器的方法和系统，包括处理器，其被配置为：在二维（2D）坐标系中显示由距离测量传感器测量的多个障碍物的表面数据; 对每个障碍物在2D坐标系中显示的表面数据进行分组; 设置多个特征参考以分析在2D坐标系中为每个障碍物显示的基于区域的特征，并且计算每个障碍物分组的各个特征参考; 以及通过对每个特征参考应用权重来产生分类器。

公开(公告)号：US11415999B2

公开(公告)日：2022-08-16

申请号：US16691745

申请日：2019-11-22

Applicant: Hyundai Motor Company ,  Kia Motors Corporation

Inventor： Kang Hoon Lee ,  Eun Jin Choi ,  Ji Un Kim ,  Hae Ryong Lee ,  Young Chul Oh ,  Ki Cheol Shin

IPC: G05D1/02 ,  G05D1/00 ,  G01S17/931

Abstract: A traveling control system of an autonomous vehicle includes a 2D LIDAR sensor, a wheel speed sensor for detecting a speed of the vehicle, a yaw rate sensor for detecting a rotational angular speed of the vehicle, and an error corrector for determining a straight-line situation using a LIDAR point detected by the 2D LIDAR sensor, extracting a straight lateral distance value according to the result of determination, accumulating the LIDAR point according to the trajectory of traveling of the vehicle detected by the wheel speed sensor and the yaw rate sensor, estimating an error between the accumulated point and the extracted straight line, and calculating and feeding back an offset correction parameter of the yaw rate sensor when the estimated error value is greater than a predetermined threshold value to automatically correct an error parameter of the yaw rate sensor.

公开(公告)号：US09355319B2

公开(公告)日：2016-05-31

申请号：US14018388

申请日：2013-09-04

Applicant: Hyundai Motor Company

Inventor： Yoon Ho Jang ,  Kyoung Moo Min ,  Eun Jin Choi ,  Jin Hak Kim

IPC: G06K9/00

CPC classification number: G06K9/00791 ,  G06K9/00805

Abstract: A system for identifying road surface conditions includes a road surface measurement sensor attached to a vehicle and configured to generate a measurement signal for a road surface condition, and a controller. The controller is configured to digitalize the measurement signal received from the road surface measurement sensor, calculate a curvature pattern for the road surface condition based on the digitalized measurement signal, and compare the calculated curvature pattern with a pre-stored curvature pattern to identify the road surface condition.

Abstract translation: 用于识别路面状况的系统包括附接到车辆并被配置为生成用于路面状况的测量信号的路面测量传感器和控制器。 控制器被配置为将从路面测量传感器接收的测量信号数字化，基于数字化的测量信号计算路面状况的曲率图案，并将计算的曲率模式与预先存储的曲率模式进行比较以识别道路 表面状况

公开(公告)号：US20140035777A1

公开(公告)日：2014-02-06

申请号：US13713820

申请日：2012-12-13

Applicant: HYUNDAI MOTOR COMPANY

Inventor： Jin Hak Kim ,  Kyung Ho Yoo ,  Yoon Ho Jang ,  Seong Su Im ,  Hui Sung Lee ,  Kyoung Moo Min ,  Eun Jin Choi

IPC: G01S13/93

CPC classification number: G01S13/93 ,  G01S7/292 ,  G01S7/41 ,  G01S13/86 ,  G01S13/91 ,  G01S13/931 ,  G08G1/16

Abstract: The present invention provides a method and a system for producing a classifier for recognizing an obstacle, including a processor configured to: display surface data of a plurality of obstacles measured by a distance measurement sensor in a two-dimensional (2D) coordinate system; group and classify the surface data displayed in the 2D coordinate system for each obstacle; setting a plurality of feature references to analyze region based features displayed for each obstacle in the 2D coordinate system and calculate the respective feature references for each obstacle grouping; and producing the classifier by applying a weight to each of the feature references.

Abstract translation: 本发明提供一种用于产生用于识别障碍物的分类器的方法和系统，包括处理器，其被配置为：在二维（2D）坐标系中显示由距离测量传感器测量的多个障碍物的表面数据; 对每个障碍物在2D坐标系中显示的表面数据进行分组; 设置多个特征参考以分析在2D坐标系中为每个障碍物显示的基于区域的特征，并且计算每个障碍物分组的各个特征参考; 以及通过对每个特征参考应用权重来产生分类器。