Hyundai Motor Company

Kia Motors Corporation

Yonsei University

Baehoon Choi

Euntai Kim

Beomseong Kim

MinkYun Yoo

Hyungsun Jang

Hoon Ki Lee

Hyunju Kim

Youngwon Kim

Hoon Shung Lee

Seongkeun Park

HyunJu Kim

YoungWon Kim

Jhonghyun An

An apparatus and method for extracting a feature point to recognize an obstacle using a laser scanner are provided. The apparatus includes a laser scanner that is installed at a front of a traveling vehicle and is configured to obtain laser scanner data having a plurality of layers in real time. In addition, a controller is configured to separate the laser scanner data obtained by the laser scanner into a plurality of layers to extract measurement data present in each layer and determine feature points of the measurement data to classify a type of obstacle based on a plurality of stored feature points.

Apparatus and method for extracting feature point for recognizing obstacle using laser scanner

A system for writing an occupancy grid map of a sensor centered coordinate system using a laser scanner includes a data unit that includes scan data read by the laser scanner, a past measurement map, and data relating to a movement of the sensor, a mapping unit for stochastically combining a current measurement map written from the scan data with a predicted map written by using the past measurement map and the data relating to a movement of the sensor, and a static and dynamic object detection unit for determining whether an object in the occupancy grid map is a static or a dynamic object by using a mapping algorithm of the mapping unit.

System and method for writing occupancy grid map of sensor centered coordinate system using laser scanner

An apparatus and method for recognizing an obstacle using a laser scanner are provided. The apparatus includes a laser scanner that is installed at the front of a traveling vehicle and is configured to acquire laser scanner data configured of multiple layers in real time and an imaging device installed at the front of the moving object and is configured to acquire video data. A controller is configured to divide first laser scanner data item and second laser scanner data item acquired by the laser scanner into multiple layers to extract measurement data items each existing in the respective layers and is configured to compare the measurement data items in the same layer of the multiple layers to determine whether an obstacle is present ahead of the traveling vehicle. Additionally, the controller is configured to combine the laser scanner data reflecting whether an obstacle is present with the video data.

Apparatus and method for recognizing obstacle using laser scanner

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Seoul, South Korea

Baehoon Choi