1 citations · 1 across the 4 of their papers we have counts for
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Toward Parking Spot Occupancy Recognition: A Self-Supervised Approach
Luan Marko Kujavski, Rayson Laroca, Paulo Lisboa de Almeida
As urban areas expand, automatic monitoring of parking lots becomes essential for efficient and sustainable cities. This work proposes a self-supervised approach for parking spot o…
Using Deep Neural Networks to Quantify Parking Dwell Time
Marcelo Eduardo Marques Ribas, Heloisa Benedet Mendes, Luiz Eduardo Soares de Oliveira +2
In smart cities, it is common practice to define a maximum length of stay for a given parking space to increase the space's rotativity and discourage the usage of individual transp…
Optimizing Parking Space Classification: Distilling Ensembles into Lightweight Classifiers
Paulo Luza Alves, André Hochuli, Luiz Eduardo de Oliveira +1
When deploying large-scale machine learning models for smart city applications, such as image-based parking lot monitoring, data often must be sent to a central server to perform c…