7 citations · 7 across the 5 of their papers we have counts for
5 papers
Dot-Flik: A Scalable Edge AI Architecture for Distributed Insect Monitoring
Mattia Consani, Denisa-Andreea Constantinescu, Åse Håtveit +4
Global insect population declines necessitate scalable, continuous monitoring systems, yet existing vision-based solutions remain constrained by high hardware costs, energy demands…
Latent patterns of urban mixing in mobility analysis across five global cities
Z. Fan, B. P. Y. Loo, F. Duarte +2
This study leverages large-scale travel surveys for over 200,000 residents across Boston, Chicago, Hong Kong, London, and Sao Paulo. With rich individual-level data, we make system…
Human vs. AI Safety Perception? Decoding Human Safety Perception with Eye-Tracking Systems, Street View Images, and Explainable AI
Yuhao Kang, Junda Chen, Liu Liu +5
The way residents perceive safety plays an important role in how they use public spaces. Studies have combined large-scale street view images and advanced computer vision technique…
Unsupervised Urban Tree Biodiversity Mapping from Street-Level Imagery Using Spatially-Aware Visual Clustering
Diaa Addeen Abuhani, Marco Seccaroni, Martina Mazzarello +3
Urban tree biodiversity is critical for climate resilience, ecological stability, and livability in cities, yet most municipalities lack detailed knowledge of their canopies. Field…
GreenScan: Towards large-scale terrestrial monitoring the health of urban trees using mobile sensing
Akshit Gupta, Simone Mora, Fan Zhang +3
Healthy urban greenery is a fundamental asset to mitigate climate change phenomena such as extreme heat and air pollution. However, urban trees are often affected by abiotic and bi…