지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2024.6
- 수록면
- 656 - 661 (6page)
- DOI
- 10.5302/J.ICROS.2024.23.8006
이용수
초록· 키워드
오류제보하기
Object detection is crucial in the field of autonomous driving. With the commercialization of level 3 autonomous vehicles, highly reliable object detection is required. Recent advancements have focused on enhancing object-detection performances by integrating camera sensors with other sensors and refining preprocessing algorithms. Detection accuracy must be improved and false positives must be reduced; additionally, assessing the performances of trained models in real-world environments is a priority. Despite high numerical performances, these models may exhibit poor detection capabilities under certain road conditions. Therefore, this study analyzes vehicle-detection performances based on factors such as angle, distance, image resolution, dataset, and model size and proposes specific research directions. The analysis reveals that vehicles can be consistently detected up to 120 m from the—front, front-diagonal, side, rear-diagonal, and rear across all resolutions—with the highest detection performance observed at 8K resolution, followed by high, ultra-high, and full-high definition.
목차
Abstract
I. 서론
II. 데이터 수집 및 실험 환경 설정
III. 검출 성능 분석
IV. 결론
REFERENCES
참고문헌 (25)
참고문헌 신청
E. Silva, F. Soares, W. Souza, and H. Freitas, “A systematic mapping of autonomous vehicle prototypes: Trends and opportunities,” IEEE Transactions on Intelligent Vehicles, 2024.
S. Y. Kim and C. H. Kang, “Adversarial auto-encoder based preprocessing algorithm for improving image identification and navigation accuracy,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 28, no. 11, pp. 999-1005, 2022.
W. Y. Chung, S. Y. Kim, C. G. Park, and C. H. Kang, “Image dehazing with scattering coefficient estimation using CNN-based image regression,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 11, pp. 890-896, 2021.
H. S. Sim, S. B. Baek, J. W. Lee, and H. C. Moon, “Merge LiDAR and high-precision digital map for real-time object detection and GNSS heading calibration,” Journal of Control, Robotics, and Systems (in Korean), vol. 29, no. 4, pp. 301-307, 2023.
S. Li and H. S. Yoon, “Sensor fusion-based vehicle detection and tracking using a single camera and radar at a traffic intersection,” Sensors, vol. 23, no. 10, pp. 4888, 2023.
S. Y. Kim and C. H. Kang, “Adversarial auto-encoder based preprocessing algorithm for improving image identification and navigation accuracy,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 28, no. 11, pp. 999-1005, 2022.
W. Y. Chung, S. Y. Kim, C. G. Park, and C. H. Kang, “Image dehazing with scattering coefficient estimation using CNN-based image regression,” Journal of Institute of Control, Robotics and Systems (in Korean), vol. 27, no. 11, pp. 890-896, 2021.
H. S. Sim, S. B. Baek, J. W. Lee, and H. C. Moon, “Merge LiDAR and high-precision digital map for real-time object detection and GNSS heading calibration,” Journal of Control, Robotics, and Systems (in Korean), vol. 29, no. 4, pp. 301-307, 2023.
S. Li and H. S. Yoon, “Sensor fusion-based vehicle detection and tracking using a single camera and radar at a traffic intersection,” Sensors, vol. 23, no. 10, pp. 4888, 2023.
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