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

Title
A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion
Authors
Kwon, Seong KyungHyun, Eu GinLee, Jin HeeLee, Jong HunSon, Sang Hyuk
DGIST Authors
Hyun, Eu Gin; Lee, Jin Hee; Lee, Jong Hun; Son, Sang Hyuk
Issue Date
2016
Citation
22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, 104
Type
Conference
Article Type
Conference Paper
ISBN
9780000000000
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. © 2016 IEEE.
URI
http://hdl.handle.net/20.500.11750/1730
DOI
10.1109/RTCSA.2016.20
Publisher
Institute of Electrical and Electronics Engineers Inc.
Related Researcher
  • Author Hyun, Eugin  
  • Research Interests Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
Files:
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Collection:
Convergence Research Center for Future Automotive Technology2. Conference Papers
Department of Information and Communication EngineeringRTCPS(Real-Time Cyber-Physical Systems) Lab2. Conference Papers


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