[Retracted] Vehicle Detection for Vision‐Based Intelligent Transportation Systems Using Convolutional Neural Network Algorithm

OO Khalifa, MH Wajdi, RA Saeed… - Journal of Advanced …, 2022 - Wiley Online Library
Vehicle detection in Intelligent Transportation Systems (ITS) is a key factor ensuring road
safety, as it is necessary for the monitoring of vehicle flow, illegal vehicle type detection …

Hybrid deep learning-Gaussian process network for pedestrian lane detection in unstructured scenes

TNA Nguyen, SL Phung… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
Pedestrian lane detection is an important task in many assistive and autonomous navigation
systems. This article presents a new approach for pedestrian lane detection in unstructured …

Traffic rules violation detection using deep learning

A Tonge, S Chandak, R Khiste, U Khan… - 2020 4th international …, 2020 - ieeexplore.ieee.org
In order to ensure safety measures on roads of India, the identification of traffic rule violators
is highly desirable but challenging job due to numerous difficulties such as occlusion …

Deep learning based pedestrian detection at distance in smart cities

RK Dinakaran, P Easom, A Bouridane, L Zhang… - Intelligent Systems and …, 2020 - Springer
Generative adversarial networks (GANs) have been promising for many computer vision
problems due to their powerful capabilities to enhance the data for training and test. In this …

Pedestrian detection using MobileNetV2 based mask R-CNN

S Sahu, SP Sahu, DK Dewangan - IoT Based Control Networks and …, 2022 - Springer
Pedestrian detection system is one of the recent technological innovations to save human
lives on the roadways. According to WHO, road accidents highly contribute to the increasing …

Study and analysis of pedestrian detection in thermal images using YOLO and SVM

A Narayanan, RD Kumar… - 2021 Sixth …, 2021 - ieeexplore.ieee.org
Pedestrian detection and driver assistance applications draws an important role on safety
measure such as speed control, crash control, sensing crash and occupant location …

Design guidelines on deep learning–based pedestrian detection methods for supporting autonomous vehicles

A Boukerche, M Sha - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Intelligent transportation systems (ITS) enable transportation participants to communicate
with each other by sending and receiving messages, so that they can be aware of their …

A comparative study on hsv-based and deep learning-based object detection algorithms for pedestrian traffic light signal recognition

N Hassan, KW Ming, CK Wah - 2020 3rd International …, 2020 - ieeexplore.ieee.org
Small object detection has been a challenge in many image analysis applications. One such
application is the ability to detect the status of Pedestrian Traffic Light (PTL) signal to allow …

Monitoring and surveillance of urban road traffic using low altitude drone images: a deep learning approach

H Gupta, OP Verma - Multimedia Tools and Applications, 2022 - Springer
In the contemporary era, the global explosion of traffic has created many eye-catching
concerns for policymakers. This not only enhances pollution but also leads to several road …

Deep Neural Network-based Detection of Road Traffic Objects from Drone-Captured Imagery Focusing on Road Regions

H Nguyen - … Journal of Advanced Computer Science and …, 2023 - search.proquest.com
This paper presents a novel deep learning approach for the detection of traffic objects from
drone-based imagery, focusing predominantly on the rapid and accurate detection of …