intelligent traffic monitoring
Intelligent Traffic Monitoring with Hybrid AI
Qasemi, Ehsan, Oltramari, Alessandro
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
2209.00448
Country:
- North America > United States > California > Los Angeles County > Los Angeles (0.28)
- North America > United States > Pennsylvania > Allegheny County > Pittsburgh (0.14)
- Asia > China > Hong Kong (0.05)
- (2 more...)
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