A Wireless Smart Camera Network for Parking Monitoring
By Giuseppe Amato, Paolo Bolettieri, D. Moroni, Fabio Carrara, Luca Ciampi, Gabriele Pieri, Claudio Gennaro, Giuseppe Riccardo Leone, Claudio Vairo. 2018
25 citations recorded by the source corpus.
In this paper we present a Wireless Sensor Network (WSN), which is intended to provide a scalable solution for active cooperative monitoring of wide geographical areas. The system is designed to use different smart-camera prototypes: where the connection to the power grid is available a powerful embedded hardware implements a Deep Neural Network, otherwise a fully autonomous energy-harvesting node based on a low-energy custom board employs lightweight image analysis algorithms. Parking lots occupancy monitoring in the historical city of Lucca (Italy) is the application where the implemented smart cameras have been deployed. Traffic monitoring and surveillance are possible new scenarios for the system.
Subfields: Building and Construction, Computer Vision and Pattern Recognition, Electrical and Electronic Engineering, ML Systems & Hardware
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Building and Construction
In Computer Vision and Pattern Recognition
In Electrical and Electronic Engineering
Citations in the corpus
- Domain Adaptation for Traffic Density Estimation (2021, background): “Some relevant works present in the literature are (Ciampi et al., 2018), (Amato et al., 2019), (Amato et al., 2018), (Aich and Stavness, 2018), (Laradji et al., 2018).”
- Unsupervised vehicle counting via multiple camera domain adaptation (2020, methodology): “They fall in two main classes of methods: a) detection-based approaches ([2, 4, 1]) that try to identify and localize single instances of objects in the image and b)density-based techniques that rely on regression techniques to estimate a density map from the image, and where the”