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저비용 3D LiDAR 기반 객체 탐지 효율적 최적화 방안 연구A Study on Efficient Optimization Methods for Low-cost 3D LiDAR- based Object Detection
- Other Titles
- A Study on Efficient Optimization Methods for Low-cost 3D LiDAR- based Object Detection
- Issue Date
- Jan-2026
- Publisher
- 제어·로봇·시스템학회
- Keywords
- autonomous vehicle; LiDAR; deep learning; point cloud; object detection; low cost
- Citation
- 제어.로봇.시스템학회 논문지, v.32, no.1, pp 22 - 28
- Pages
- 7
- Indexed
- SCOPUS
KCI
- Journal Title
- 제어.로봇.시스템학회 논문지
- Volume
- 32
- Number
- 1
- Start Page
- 22
- End Page
- 28
- ISSN
- 1976-5622
2233-4335
- Abstract
- Recent research has focused on integrating low-cost 3D LiDAR sensors into vehicles to advance autonomous driving technologies. However, most 3D object detection algorithms are developed and validated using high-cost 3D LiDAR sensors. Therefore, this study evaluates the performance of current 3D object detection algorithms within a low-cost 3D LiDAR environment and provides a comparative analysis to identify their effectiveness.
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Related Researcher
- MOOK, KANG CHANG
- COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)