カメラによる物体移動情報に基づくドライバ注意領域の推定(J22-2 センサ・アクチュエータシステムとその知能化(2),J22 センサ・アクチュエータシステムとその知能化-実環境で活躍するメカトロニクスを目指して)

概要

論文の詳細を見る
A dangerous regions detection algorithm based on two combinations of local information, provided by optical flow, and global information, obtained from vehicle's states, is proposed. The algorithm infers degrees of danger of moving objects in dynamic images taken from a vehicle-mounted camera using artificial neural networks. It makes the system more flexible to multiple drivers with dissimilar characteristics. Experiments are done on model and real vehicles videos with multiple moving objects. The results show that it is possible to determine dangerous regions close to the drivers' decisions. The foundation of a practical driver assistance system is fixed by the proposed algorithm.
社団法人日本機械学会の論文
2004-09-04