Classifying logistic vehicles in cities using Deep learning
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 …
the use of delivery trucks and light commercial vehicles is evolving. Major cities can use …
Categorical vehicle classification using deep neural networks
Categorical vehicle classification on sequence of image data being a task of great
importance and challenging as well for automated traffic surveillance and for the …
importance and challenging as well for automated traffic surveillance and for the …
Deep Learning-Based Vehicle Classification
RB Muhib, IS Ahmad, B Boufama - Proceedings of the Future …, 2023 - Springer
Vehicle classification is an essential part of intelligent transportation systems (ITS). This work
proposes a model based on transfer learning, combining data augmentation for the …
proposes a model based on transfer learning, combining data augmentation for the …
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 …
the continued urbanization of the global population. Numerous hardware and software …
Integration of Deep Learning Models for Vehicle Counting: Towards Optimized Planning of Urban Charging Infrastructures
Amidst the rising prevalence of electric vehicles (EV) and the corresponding need for
adequate charging infrastructures, this study presents an innovative application of deep …
adequate charging infrastructures, this study presents an innovative application of deep …
Check for updates Deep Learning-Based Vehicle Classification
RB Muhib, IS Ahmad, B Boufama - Proceedings of the Future …, 2023 - books.google.com
Vehicle classification is an essential part of intelligent transportation systems (ITS). This work
proposes a model based on transfer learning, combining data augmentation for the …
proposes a model based on transfer learning, combining data augmentation for the …
Counting vehicle by axes with high-precision in brazilian roads with deep learning methods
Traffic surveys provide insight into vehicle flow generation and distribution, which is
essential for forecasting the future needs for the circulation of goods. The National …
essential for forecasting the future needs for the circulation of goods. The National …
Irvd: A large-scale dataset for classification of iranian vehicles in urban streets
H Gholamalinejad, H Khosravi - Journal of AI and Data Mining, 2021 - jad.shahroodut.ac.ir
In recent years, vehicle classification has been one of the most important research topics.
However, due to the lack of a proper dataset, this field has not been well developed as other …
However, due to the lack of a proper dataset, this field has not been well developed as other …
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 …
authorities. A range of technologies has been applied to measure throughput and potential …
A large contextual dataset for classification, detection and counting of cars with deep learning
TN Mundhenk, G Konjevod, WA Sakla… - Computer Vision–ECCV …, 2016 - Springer
We have created a large diverse set of cars from overhead images (Data sets, annotations,
networks and scripts are available from http://gdo-datasci. ucllnl. org/cowc/), which are useful …
networks and scripts are available from http://gdo-datasci. ucllnl. org/cowc/), which are useful …