日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2504.07163

Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks

Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks

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著者: Jordi Serra, Anton Aguilar, Ebrahim Abu-Helalah, Raúl Parada, Paolo Dini

分類: cs.MA, cs.LG, cs.RO

原文アブストラクト

This paper deals with the multi-object detection and tracking problem, within the scope of open Radio Access Network (RAN), for collision avoidance in vehicular scenarios. To this end, a set of distributed intelligent agents collocated with cameras are considered. The fusion of detected objects is done at an edge service, considering Open RAN connectivity. Then, the edge service predicts the objects trajectories for collision avoidance. Compared to the related work a more realistic Open RAN network is implemented and multiple cameras are used.