MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities
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Abstract (arXiv)
This paper presents a Multimodal Ambient Context-enriched Intelligence Platform (MACeIP) for Smart Cities, a comprehensive system designed to enhance urban management and citizen engagement. Our platform integrates advanced technologies, including Internet of Things (IoT) sensors, edge and cloud computing, and Multimodal AI, to create a responsive and intelligent urban ecosystem. Key components include Interactive Hubs for citizen interaction, an extensive IoT sensor network, intelligent public asset management, a pedestrian monitoring system, a City Planning Portal, and a Cloud Computing System. We demonstrate the prototype of MACeIP in several cities, focusing on Fredericton, New Brunswick. This work contributes to innovative city development by offering a scalable, efficient, and user-centric approach to urban intelligence and management.
Key facts. Cited by 2 papers in the map (data through 7 Oct 2026). Builds on 4 of its 23 references that are in the map. First posted on arXiv 23 Sep 2024.
Builds on
4 of 23 references.
References · 4
- 2017CityPersons: A Diverse Dataset for Pedestrian Detectioncited by 171
- 2023Towards Better Explanations for Object Detectioncited by 14
- 2024Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainercited by 6
- 2024Urgent Edge Computingcited by 3
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Citing papers per year: 2024: 1; 2025: 0; 2026: 1.
2 papers.