Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

Optimizing Road Traffic Surveillance: A Robust Hyper-Heuristic Approach for Vehicle Segmentation

Due to rising consumer demand and traffic congestion, last-mile logistics is becoming more challenging. To optimize urban distribution networks, digital image processing plays a key role in addressing these challenges through efficient traffic monitoring systems, an essential component of intelligen...

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Bibliographic Details
Main Authors: Erick Rodriguez-Esparza, Oscar Ramos-Soto, Antonio D. Masegosa, Enrique Onieva, Diego Oliva, Ander Arriandiaga, Arka Ghosh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Digital image processing
hyper-heuristic optimization
intelligent transportation systems
multilevel thresholding
traffic surveillance
vehicle segmentation
Online Access:https://ieeexplore.ieee.org/document/10443601/

Internet

https://ieeexplore.ieee.org/document/10443601/

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