重要交通状況における歩行者行動の特定と抽出
Identifying and Extracting Pedestrian Behavior in Critical Traffic Situations
110時間の映像から歩行者と車両の軌跡を解析し、衝突余裕時間と新たな動作適応指標を組み合わせて危険な相互作用を抽出した。
著者: Martin Schachner, Bernd Schneider, Fabian Weissenbacher, Nadezda Kirillova, Horst Possegger, Horst Bischof, Corina Klug
分類: cs.RO
原文アブストラクト
A better understanding of interactive pedestrian behavior in critical traffic situations is essential for the development of enhanced pedestrian safety systems. Real-world traffic observations play a decisive role in this, since they represent behavior in an unbiased way. In this work, we present an approach of how a subset of very considerable pedestrian-vehicle interactions can be derived from a camera-based observation system. For this purpose, we have examined road user trajectories automatically for establishing temporal and spatial relationships, using 110h hours of video recordings. In order to identify critical interactions, our approach combines the metric post-encroachment time with a newly introduced motion adaption metric. From more than 11,000 reconstructed pedestrian trajectories, 259 potential scenarios remained, using a post-encroachment time threshold of 2s. However, in 95% of cases, no adaptation of the pedestrian behavior was observed due to avoiding criticality. Applying the proposed motion adaption metric, only 21 critical scenarios remained. Manual investigations revealed that critical pedestrian vehicle interactions were present in 7 of those. They were further analyzed and made publicly available for developing pedestrian behavior models3. The results indicate that critical interactions in which the pedestrian perceives and reacts to the vehicle at a relatively late stage can be extracted using the proposed method.
