Heavy vehicle classification through deep learning

PY Sun, WY Sun, Y Jin, RO Sinnott - … Conference, Held as Part of the …, 2020 - Springer
Understanding the flow of traffic on road networks is increasingly important especially with
the continued urbanization of the global population. Numerous hardware and software …

Identification and classification of trucks and trailers on the road network through deep learning

L Chen, Y Jia, PY Sun, RO Sinnott - Proceedings of the 6th IEEE/ACM …, 2019 - dl.acm.org
Understanding the flow of traffic on road networks is a primary focus of road transport
authorities. A range of technologies has been applied to measure throughput and potential …

Classifying logistic vehicles in cities using Deep learning

S Benslimane, S Tamayo, A de La Fortelle - arXiv preprint arXiv …, 2019 - arxiv.org
Rapid growth in delivery and freight transportation is increasing in urban areas; as a result
the use of delivery trucks and light commercial vehicles is evolving. Major cities can use …

Real-Time Traffic Classification through Deep Learning

M Priymak, R Sinnott - Proceedings of the 2021 IEEE/ACM 8th …, 2021 - dl.acm.org
The increasing urbanization of the global population has drawn many researchers' attention
to the field of Intelligent Transportation Systems. Numerous hardware and software …

Active Learning for Multi-Class Vehicle Categorization and Traffic Analysis in complex environments

G Lugo, J Quinlan, L Zhou, MN Sadik… - … on Multimedia (ISM), 2023 - ieeexplore.ieee.org
This paper presents a novel approach designed for the study of vehicles, with a primary
focus on enhancing the assessment of goods and their value. The framework aims to …

Multi-categories vehicle detection for urban traffic management

V Desai, S Degadwala, D Vyas - 2023 Second International …, 2023 - ieeexplore.ieee.org
The" significant rise in congestion on traffic lanes is one of the most significant challenges
that slows the growth of a metropolitan metropolis. The reason for this is that there are a …

Detection and Monitoring of Unauthorized Heavy Vehicles in Residential Areas using Deep Learning

A Satsangi, P Agarwal… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
Timely identification and monitoring of unauthorized heavy vehicles in residential areas is
motivated by a pressing need to address the escalating challenges associated with urban …

Object Detection for Autonomous Vehicles in Urban Areas Using Deep Learning

M Arslan, M Mubeen, SM Usman - Proceedings of the Future …, 2024 - Springer
This study details the development of a reliable automated system for detecting urban traffic
using a custom dataset, designed specifically for this research. We developed a novel …

Training a deep learning architecture for vehicle detection using limited heterogeneous traffic data

D Mittal, A Reddy, G Ramadurai, K Mitra… - … systems & networks …, 2018 - ieeexplore.ieee.org
Video image processing of traffic camera feeds is useful for counting and classifying
vehicles, estimating queue length, traffic speed and also for tracking individual vehicles …

Advanced Approaches to Vehicle Detection through Deep Learning a Scholarly Investigation

R Kiranmai, R Deeptha… - … Conference on Intelligent …, 2024 - ieeexplore.ieee.org
The growing imperative for intelligent transportation systems (ITS) evoked by the ongoing
population surge and a correlative increase in road traffic demands significant safety …