@misc{10481/90373,
year = {2024},
month = {3},
url = {https://hdl.handle.net/10481/90373},
abstract = {License Plate Recognition (LPR) sensors often fail to detect vehicles or to identify all plate numbers correctly. This noise results in missing digits or an incomplete route of a vehicle, for example, missing one node (LPR camera) in the route. Addressing these issues, RouteRecoverer creates the route followed by a vehicle while efficiently recovering absent LPR plate digits, and filling gaps in routes. For example, when a vehicle is detected by LPR A and C, with the only route between them being B, our tool seamlessly retrieves the missing information, improving the data output.},
organization = {LifeWatch ERIC},
publisher = {Elsevier},
keywords = {Data recovery},
keywords = {Vehicles routes},
keywords = {License Plate Recognition},
keywords = {Smart villages},
keywords = {Internet of Things},
title = {RouteRecoverer: A tool to create routes and recover noisy license plate number data},
doi = {https://doi.org/10.1016/j.simpa.2024.100636},
author = {Durán López, Alberto and Bolaños Martinez, Daniel and Delgado Márquez, Luisa and Bermúdez Edo, María del Campo},
}