레이더와 비전센서 융합을 통한 전방 차량 인식 알고리즘 개발

다국어 초록 (Multilingual Abstract)

This paper presents the sensor fusion algorithm that recognizes a primary vehicle by fusing radar and monocular vision data. In general, most of commercial radars may lose tracking of the primary vehicle, i.e., the closest preceding vehicle in the same lane, when it stops or goes with other preceding vehicles in the adjacent lane with similar velocity and range. In order to improve the performance degradation of radar, vehicle detection information from vision sensor and path prediction predicted by ego vehicle sensors will be combined for target classification. Then, the target classification will work with probabilistic association filters to track a primary vehicle. Finally the performance of the proposed sensor fusion algorithm is validated using field test data on highway.

목차 (Table of Contents)

• Abstract
• Ⅰ. 서론
• Ⅱ. 레이더 및 비전기반 전방차량 인식
• Ⅲ. 센서융합기반 선행 차량 인식
• Ⅳ. 실험적 검증
• Ⅴ. 결론
• 참고문헌

참고문헌 (Reference)

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