Vehicle classification in intelligent transport systems: An overview, methods and software perspective
Vehicle Classification (VC) is a key element of Intelligent Transportation Systems (ITS).
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …
Diverse ranges of ITS applications like security systems, surveillance frameworks, fleet …
A review on vehicle classification and potential use of smart vehicle-assisted techniques
Vehicle classification (VC) is an underlying approach in an intelligent transportation system
and is widely used in various applications like the monitoring of traffic flow, automated …
and is widely used in various applications like the monitoring of traffic flow, automated …
A new fractal series expansion based enhancement model for license plate recognition
License plate recognition is an emerging topic for real-time applications in smart city
development because of automatic systems for toll fee-paying, traffic controlling, and vehicle …
development because of automatic systems for toll fee-paying, traffic controlling, and vehicle …
A cascaded deep convolutional network for vehicle logo recognition from frontal and rear images of vehicles
Vehicle logo recognition provides an important supplement to vehicle make and model
analysis. Some of the existing vehicle logo recognition methods depend on the detection of …
analysis. Some of the existing vehicle logo recognition methods depend on the detection of …
Convolutional neural networks for on-board cloud screening
A cloud screening unit on a satellite platform for Earth observation can play an important role
in optimizing communication resources by selecting images with interesting content while …
in optimizing communication resources by selecting images with interesting content while …
A new comparison framework to survey neural networks‐based vehicle detection and classification approaches
S Hashemi, H Emami… - International Journal of …, 2021 - Wiley Online Library
The vehicle detection and classification (VDC) problem has received much attention recently
due to the increased security threats and the need to develop intelligent transportation …
due to the increased security threats and the need to develop intelligent transportation …
Embedding pose information for multiview vehicle model recognition
Vehicle model recognition is a typical fine-grained classification task that has a wide range
of application prospects in safe cities and constitutes a research hotspot in the field of …
of application prospects in safe cities and constitutes a research hotspot in the field of …
Vehicle detection based on visual attention mechanism and adaboost cascade classifier in intelligent transportation systems
X Chen, L Liu, Y Deng, X Kong - Optical and Quantum Electronics, 2019 - Springer
Robust and efficient vehicle detection is an essential task in intelligent transportation
systems (ITS). Unfortunately, due to a great diversity of vehicle profiles and outdoor …
systems (ITS). Unfortunately, due to a great diversity of vehicle profiles and outdoor …
An approach to improving sound-based vehicle speed estimation
We consider improving the performance of a recently proposed sound-based vehicle speed
estimation method. In the original method, an intermediate feature, referred to as the …
estimation method. In the original method, an intermediate feature, referred to as the …
Coarse-to-Fine Context Aggregation Network for Vehicle Make and Model Recognition
Vehicle Make and Model Recognition (VMMR) is one of the fundamental elements in
Intelligent Transportation System (ITS) that becomes the enabler for plenty of downstream …
Intelligent Transportation System (ITS) that becomes the enabler for plenty of downstream …