A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion

Seong Kyung Kwon; Eugin Hyun; Jin Hee Lee; Jonghun Lee; Sang Hyuk Son

doi:10.1109/RTCSA.2016.20

A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion

Seong Kyung Kwon
, Eugin Hyun
, Jin Hee Lee
, Jonghun Lee
, Sang Hyuk Son

Daegu Gyeongbuk Institute of Science and Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

21 Scopus citations

Abstract

Object detection has been researched using a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. Further, it is known that when pedestrians are partially occluded, detecting them is extremely difficult because of insufficient data to determine them. To address this problem, we use LIDAR and RADAR sensors to improve the detection accuracy. We present a sensor fusion scheme for detecting partially occluded pedestrian with low-complexity.

Original language	English
Title of host publication	Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	104
Number of pages	1
ISBN (Electronic)	9781509024797
DOIs	https://doi.org/10.1109/RTCSA.2016.20
State	Published - 29 Sep 2016
Event	22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016 - Daegu, Korea, Republic of Duration: 17 Aug 2016 → 19 Aug 2016

Publication series

Name	Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016

Conference

Conference	22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016
Country/Territory	Korea, Republic of
City	Daegu
Period	17/08/16 → 19/08/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

Keywords

LIDAR-RADAR sensor fusion
low-complexity
occluded detection
pedestrian detection

Access to Document

10.1109/RTCSA.2016.20

Cite this

Kwon, S. K., Hyun, E., Lee, J. H., Lee, J., & Son, S. H. (2016). A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion. In Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016 (pp. 104). Article 7579940 (Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RTCSA.2016.20

Kwon, Seong Kyung ; Hyun, Eugin ; Lee, Jin Hee et al. / A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion. Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. pp. 104 (Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016).

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title = "A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion",

abstract = "Object detection has been researched using a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. Further, it is known that when pedestrians are partially occluded, detecting them is extremely difficult because of insufficient data to determine them. To address this problem, we use LIDAR and RADAR sensors to improve the detection accuracy. We present a sensor fusion scheme for detecting partially occluded pedestrian with low-complexity.",

keywords = "LIDAR-RADAR sensor fusion, low-complexity, occluded detection, pedestrian detection",

author = "Kwon, \{Seong Kyung\} and Eugin Hyun and Lee, \{Jin Hee\} and Jonghun Lee and Son, \{Sang Hyuk\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016 ; Conference date: 17-08-2016 Through 19-08-2016",

year = "2016",

month = sep,

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doi = "10.1109/RTCSA.2016.20",

language = "English",

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Kwon, SK, Hyun, E, Lee, JH, Lee, J & Son, SH 2016, A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion. in Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016., 7579940, Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, Institute of Electrical and Electronics Engineers Inc., pp. 104, 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, Daegu, Korea, Republic of, 17/08/16. https://doi.org/10.1109/RTCSA.2016.20

A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion. / Kwon, Seong Kyung; Hyun, Eugin; Lee, Jin Hee et al.
Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 104 7579940 (Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion

AU - Kwon, Seong Kyung

AU - Hyun, Eugin

AU - Lee, Jin Hee

AU - Lee, Jonghun

AU - Son, Sang Hyuk

PY - 2016/9/29

Y1 - 2016/9/29

N2 - Object detection has been researched using a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. Further, it is known that when pedestrians are partially occluded, detecting them is extremely difficult because of insufficient data to determine them. To address this problem, we use LIDAR and RADAR sensors to improve the detection accuracy. We present a sensor fusion scheme for detecting partially occluded pedestrian with low-complexity.

AB - Object detection has been researched using a camera, a LIDAR and a RADAR. However, camera-based techniques have heavy image processing and are sensitive for light intensity. LIDAR can measure precise distance from objects, but it is difficult to classify objects. Further, it is known that when pedestrians are partially occluded, detecting them is extremely difficult because of insufficient data to determine them. To address this problem, we use LIDAR and RADAR sensors to improve the detection accuracy. We present a sensor fusion scheme for detecting partially occluded pedestrian with low-complexity.

KW - LIDAR-RADAR sensor fusion

KW - low-complexity

KW - occluded detection

KW - pedestrian detection

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DO - 10.1109/RTCSA.2016.20

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BT - Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016

Y2 - 17 August 2016 through 19 August 2016

ER -

Kwon SK, Hyun E, Lee JH, Lee J , Son SH. A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion. In Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016. Institute of Electrical and Electronics Engineers Inc. 2016. p. 104. 7579940. (Proceedings - 2016 IEEE 22nd International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016). doi: 10.1109/RTCSA.2016.20

A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion

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