# MACeIP: A Multimodal Ambient Context-enriched Intelligence Platform in Smart Cities

arXiv: https://arxiv.org/abs/2409.15243 · HTML: https://mlsanity.com/paper/2409.15243/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 23 references that are in the map.
- First posted on arXiv 23 Sep 2024.

## Builds on (most cited first, 4 of 4)

- [CityPersons: A Diverse Dataset for Pedestrian Detection](https://mlsanity.com/paper/1702.05693/) (2017)
- [Towards Better Explanations for Object Detection](https://mlsanity.com/paper/2306.02744/) (2023)
- [Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer](https://mlsanity.com/paper/2404.13417/) (2024)
- [Urgent Edge Computing](https://mlsanity.com/paper/2404.13411/) (2024)

## Built on by (most cited first, 2 of 2)

- [The Streetscape Application Services Stack (SASS): Towards a Distributed Sensing Architecture for Urban Applications](https://mlsanity.com/paper/2411.19714/) (2024)
- [Multi-Dimensional Model Integrity and Responsibility Assessment Index and Scoring Framework](https://mlsanity.com/paper/2605.14550/) (2026)

## 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.
