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Intelligent Traffic Monitoring with Hybrid AI

2022-08-31 17:47:22
Ehsan Qasemi, Alessandro Oltramari
arXiv_AI
     
Abstract

Challenges in Intelligent Traffic Monitoring (ITMo) are exacerbated by the large quantity and modalities of data and the need for the utilization of state-of-the-art (SOTA) reasoners. We formulate the problem of ITMo and introduce HANS, a neuro-symbolic architecture for multi-modal context understanding, and its application to ITMo. HANS utilizes knowledge graph technology to serve as a backbone for SOTA reasoning in the traffic domain. Through case studies, we show how HANS addresses the challenges associated with traffic monitoring while being able to integrate with a wide range of reasoning methods

Abstract (translated)

URL

https://arxiv.org/abs/2209.00448

PDF

https://arxiv.org/pdf/2209.00448.pdf

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