UAVを用いた交差点における車両追跡と衝突リスク評価
Using UAVs for vehicle tracking and collision risk assessment at intersections
UAVの映像とV2X通信を活用し、深層学習による追跡と衝突時間推定を組み合わせて交差点での車両衝突リスクを評価する手法を提案した。
著者: Shuya Zong, Sikai Chen, Majed Alinizzi, Yujie Li, Samuel Labi
分類: cs.RO, cs.AI, eess.IV
原文アブストラクト
Assessing collision risk is a critical challenge to effective traffic safety management. The deployment of unmanned aerial vehicles (UAVs) to address this issue has shown much promise, given their wide visual field and movement flexibility. This research demonstrates the application of UAVs and V2X connectivity to track the movement of road users and assess potential collisions at intersections. The study uses videos captured by UAVs. The proposed method combines deep-learning based tracking algorithms and time-to-collision tasks. The results not only provide beneficial information for vehicle's recognition of potential crashes and motion planning but also provided a valuable tool for urban road agencies and safety management engineers.
