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 …
Service based VEINS framework for vehicular Ad-hoc network (VANET): A systematic review of state-of-the-art
The state-of-the-art framework for VANETs, Vehicles in Network Simulation (VEINS), is
primarily sparse and fragmented. The combination of VANETs and VEINS can improve road …
primarily sparse and fragmented. The combination of VANETs and VEINS can improve road …
Deep Learning-Based Approaches Using Feature Selection Methods for Automatic Diagnosis of COVID-19 Disease from X-Ray Images
B Taşci - Deep Learning Applications in Image Analysis, 2023 - Springer
The COVID-19 pandemic caused by the SARS-CoV-2 virus, which arose in Wuhan, Hubei
province, China, on 31 December 2019 and rapidly spread to six continents and hundreds …
province, China, on 31 December 2019 and rapidly spread to six continents and hundreds …
Moving object detection and speed estimation by digital image processing
KNV Khasim, G Anilkumar, G Vamshi… - Journal of Physics …, 2022 - iopscience.iop.org
Intelligent network systems and security surveillance are used for smart city development.
Manual and heritage technology is used in surveillance systems to detect speeds higher …
Manual and heritage technology is used in surveillance systems to detect speeds higher …
A Study on Real-Time Vehicle Speed Measurement Techniques
On-road speed detection of vehicles is essential for various reasons, including enforcement
of traffic rules and regulations, managing traffic flow, and road safety. Multiple techniques …
of traffic rules and regulations, managing traffic flow, and road safety. Multiple techniques …
Autonomous Real‐Time Speed‐Limit Violation Detection and Reporting Systems Based on the Internet of Vehicles (IoV)
Over‐/underspeeding is one of the leading causes of road accidents. Traditional systems of
detecting and reporting speed‐limit violations are not suitable for smart cities. Even the …
detecting and reporting speed‐limit violations are not suitable for smart cities. Even the …
TB-EDA: A trust-based event detection algorithm to detect false events in software-defined vehicular network
False event propagation is one of the main reasons of disruption of a network. So, false
events need to be detected early to protect the network from collapsing. In this paper, a trust …
events need to be detected early to protect the network from collapsing. In this paper, a trust …
Vehicle Over Speed Detection System
In recent times, the roadways in India are improving. Vehicles are travelling at a fast rate of
speed on Indian roadways. The Indian government wants to implement a system known as …
speed on Indian roadways. The Indian government wants to implement a system known as …
Prototype for the Prevention of Speeding on Highways Based on Raspberry Pi 4 in Huancayo
VT Barzola-Trillo, IF Gamarra-Alarcon… - 2023 IEEE World AI …, 2023 - ieeexplore.ieee.org
According to SUTRAN, in the period of 2022, there were 31845 traffic accidents due to
speeding on national and departmental highways in Peru. This work develops a speed alert …
speeding on national and departmental highways in Peru. This work develops a speed alert …