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저비용 3D LiDAR 기반 객체 탐지 효율적 최적화 방안 연구
A Study on Efficient Optimization Methods for Low-cost 3D LiDAR- based Object Detection
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- 김민창;
- 박형준;
- 김도선;
- 장하늘;
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SCOPUS
0초록
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.
키워드
autonomous vehicle; LiDAR; deep learning; point cloud; object detection; low cost; Automobile drivers; Autonomous vehicles; Computer vision; Cost benefit analysis; Deep learning; Intelligent robots; Object recognition; Optical radar; Signal detection
- 제목
- 저비용 3D LiDAR 기반 객체 탐지 효율적 최적화 방안 연구
- 제목 (타언어)
- A Study on Efficient Optimization Methods for Low-cost 3D LiDAR- based Object Detection
- 저자
- 김준형; 김민창; 박형준; 김도선; 장하늘; 김태웅; 강창묵
- 발행일
- 2026-01
- 유형
- Y
- 저널명
- 제어.로봇.시스템학회 논문지
- 권
- 32
- 호
- 1
- 페이지
- 22 ~ 28