Enhanced the moving object detection and object tracking for traffic surveillance using RBF-FDLNN and CBF algorithm

R Chandrakar, R Raja, R Miri, U Sinha… - Expert Systems with …, 2022 - Elsevier
For traffic surveillance systems (TSS), Moving object detection and tracking is the key
technology. On account of moving object-orientation variation, changing weather conditions …

Vehicle-related scene understanding using deep learning

X Liu, M Neuyen, WQ Yan - … , Auckland, New Zealand, November 26, 2019 …, 2020 - Springer
Automated driving is an inevitable trend in future transportation, it is also one of the eminent
achievements in the matter of artificial intelligence. Deep learning produces a significant …

[HTML][HTML] Comparative Analysis of Machine Learning Techniques for Enhanced Vehicle Tracking and Analysis

S Rani, S Dalal - Transportation Engineering, 2024 - Elsevier
A The past few years have seen a marvellous growth in technology and science. This rapid
improvement has proven to be a blessing, making human life easier. Technological …

AI simulations and programming environments for drones: An overview

OP Olawale, K Dimililer, F Al-Turjman - Drones in Smart-Cities, 2020 - Elsevier
Simulators are generally used in the field of robotics, medical applications to virtually
understand a system. They help in economizing cost of the actual implementation of robotic …

Model predictive control for full autonomous vehicle overtaking

I Lamouik, A Yahyaouy… - Transportation research …, 2023 - journals.sagepub.com
Despite the many advancements in traffic safety, vehicle overtaking still poses significant
challenges to both human drivers and autonomous vehicles, especially, how to evaluate the …

R-CNN based Vehicle Object Detection via Segmentation capabilities in Road Scenes

BR Chughtai, HF Alhasson, M Alnusayri… - IEEE …, 2024 - ieeexplore.ieee.org
In the realm of intelligent transportation systems, vehicle detection and classification stand
as pivotal tasks. An effective traffic monitoring system should be capable of detecting …

Decision tree-extended finite impulse response filtering for pedestrian tracking over tightly integrated inertial navigation system/ultra wide band data

Y Xu, YS Shmaliy, L Hua, L Ma… - … Science and Technology, 2020 - iopscience.iop.org
Although the tightly integrated inertial navigation system/ultra wide band (INS/UWB)
improves the localization accuracy, it suffers from UWB distance outage. In order to reduce …

[PDF][PDF] TOWARDS THE NEXT GENERATION INTELLIGENT TRANSPORTATION SYSTEM: A VEHICLE DETECTION AND COUNTING FRAMEWORK FOR …

SH Ahmed, M Raza, M Kazmi, SS Mehdi, I Rehman… - Neural Network …, 2023 - nnw.cz
Modern development in deep learning and computer vision techniques, intelligent
transportation system (ITS) has emerged as a useful tool for building a traffic infrastructure in …

Intelligent Traffic Management System Using YOLO Machine Learning Model

B Gomathi, G Ashwin - Disruptive Technologies for Big Data and Cloud …, 2022 - Springer
With the increased use of private vehicles for commuting, traffic congestion has turn into a
permanent dispute in the world. Traffic congestion results in delays, time waste, and …

Analysis of Traffic Management System using YOLOv8

K Anvitha, R Sumathi, K Vanaja… - 2023 2nd …, 2023 - ieeexplore.ieee.org
The identification of traffic violations plays a pivotal role in contemporary efforts to manage
traffic effectively and enhance safety on the roads. Traffic violation detection holds immense …