Robust Object Segmentation Using a Multi-Layer Laser Scanner

The major problem in an advanced driver assistance system (ADAS) is the proper use of sensor measurements and recognition of the surrounding environment. To this end, there are several types of sensors to consider, one of which is the laser scanner. In this paper, we propose a method to segment the...

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Main Authors: Beomseong Kim, Baehoon Choi, Minkyun Yoo, Hyunju Kim, Euntai Kim
Format: Article
Language:English
Published: MDPI AG 2014-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/14/11/20400
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author Beomseong Kim
Baehoon Choi
Minkyun Yoo
Hyunju Kim
Euntai Kim
author_facet Beomseong Kim
Baehoon Choi
Minkyun Yoo
Hyunju Kim
Euntai Kim
author_sort Beomseong Kim
collection DOAJ
description The major problem in an advanced driver assistance system (ADAS) is the proper use of sensor measurements and recognition of the surrounding environment. To this end, there are several types of sensors to consider, one of which is the laser scanner. In this paper, we propose a method to segment the measurement of the surrounding environment as obtained by a multi-layer laser scanner. In the segmentation, a full set of measurements is decomposed into several segments, each representing a single object. Sometimes a ghost is detected due to the ground or fog, and the ghost has to be eliminated to ensure the stability of the system. The proposed method is implemented on a real vehicle, and its performance is tested in a real-world environment. The experiments show that the proposed method demonstrates good performance in many real-life situations.
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spelling doaj.art-6c90e87c5c8a4295ac97add76e45db0f2022-12-22T02:52:49ZengMDPI AGSensors1424-82202014-10-011411204002041810.3390/s141120400s141120400Robust Object Segmentation Using a Multi-Layer Laser ScannerBeomseong Kim0Baehoon Choi1Minkyun Yoo2Hyunju Kim3Euntai Kim4Electrical and Electronic Engineering Department, Yonsei University, Seoul 120-749, KoreaElectrical and Electronic Engineering Department, Yonsei University, Seoul 120-749, KoreaAdvanced Driver Assistance System Recognition Development Team, Hyundai Motors, Gyeonggi 445-706, KoreaAdvanced Driver Assistance System Recognition Development Team, Hyundai Motors, Gyeonggi 445-706, KoreaElectrical and Electronic Engineering Department, Yonsei University, Seoul 120-749, KoreaThe major problem in an advanced driver assistance system (ADAS) is the proper use of sensor measurements and recognition of the surrounding environment. To this end, there are several types of sensors to consider, one of which is the laser scanner. In this paper, we propose a method to segment the measurement of the surrounding environment as obtained by a multi-layer laser scanner. In the segmentation, a full set of measurements is decomposed into several segments, each representing a single object. Sometimes a ghost is detected due to the ground or fog, and the ghost has to be eliminated to ensure the stability of the system. The proposed method is implemented on a real vehicle, and its performance is tested in a real-world environment. The experiments show that the proposed method demonstrates good performance in many real-life situations.http://www.mdpi.com/1424-8220/14/11/20400laser scannerobstacle detectionsegmentationadvanced driver assistance system (ADAS)
spellingShingle Beomseong Kim
Baehoon Choi
Minkyun Yoo
Hyunju Kim
Euntai Kim
Robust Object Segmentation Using a Multi-Layer Laser Scanner
Sensors
laser scanner
obstacle detection
segmentation
advanced driver assistance system (ADAS)
title Robust Object Segmentation Using a Multi-Layer Laser Scanner
title_full Robust Object Segmentation Using a Multi-Layer Laser Scanner
title_fullStr Robust Object Segmentation Using a Multi-Layer Laser Scanner
title_full_unstemmed Robust Object Segmentation Using a Multi-Layer Laser Scanner
title_short Robust Object Segmentation Using a Multi-Layer Laser Scanner
title_sort robust object segmentation using a multi layer laser scanner
topic laser scanner
obstacle detection
segmentation
advanced driver assistance system (ADAS)
url http://www.mdpi.com/1424-8220/14/11/20400
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AT minkyunyoo robustobjectsegmentationusingamultilayerlaserscanner
AT hyunjukim robustobjectsegmentationusingamultilayerlaserscanner
AT euntaikim robustobjectsegmentationusingamultilayerlaserscanner