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A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion
- A Low-Complexity Scheme for Partially Occluded Pedestrian Detection Using LIDAR-RADAR Sensor Fusion
- Kwon, Seong Kyung; Hyun, Eu Gin; Lee, Jin Hee; Lee, Jong Hun; Son, Sang Hyuk
- DGIST Authors
- Hyun, Eu Gin; Lee, Jin Hee; Lee, Jong Hun; Son, Sang Hyuk
- Issue Date
- 22nd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, RTCSA 2016, 104
- Article Type
- Conference Paper
- 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.
- Institute of Electrical and Electronics Engineers Inc.
- Related Researcher
Radar system, Radar signal processing, Automotive radar, Surveillance radar, Commercial radar, Defence radar,
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