Review of integrated chassis control techniques for automated ground vehicles

V Skrickij, P Kojis, E Šabanovič, B Shyrokau, V Ivanov - Sensors, 2024 - mdpi.com
Integrated chassis control systems represent a significant advancement in the dynamics of
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …

Traffic Sign Recognition with Deep Learning: Vegetation Occlusion Detection in Brazilian Environments

V Dalborgo, TB Murari, VS Madureira, JGL Moraes… - Sensors, 2023 - mdpi.com
Traffic Sign Recognition (TSR) is one of the many utilities made possible by embedded
systems with internet connections. Through the usage of vehicular cameras, it's possible to …

Traffic sign detection and recognition using multi-frame embedding of video-log images

J Xu, Y Huang, D Ying - Remote Sensing, 2023 - mdpi.com
The detection and recognition of traffic signs is an essential component of intelligent vehicle
perception systems, which use on-board cameras to sense traffic sign information …

[PDF][PDF] A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time scenarios

A Turki, O Kahouli, S Albadran, M Ksantini, A Aloui… - AIMS Math, 2024 - aimspress.com
A sophisticated Drowsiness Detection System via Deep Transfer Learning for real time
scenarios Page 1 AIMS Mathematics, 9(2): 3211–3234. DOI: 10.3934/math.2024156 …

Hardware Accelerators for Autonomous Cars: A Review

R Islayem, F Alhosani, R Hashem, A Alzaabi… - arXiv preprint arXiv …, 2024 - arxiv.org
Autonomous Vehicles (AVs) redefine transportation with sophisticated technology,
integrating sensors, cameras, and intricate algorithms. Implementing machine learning in AV …

[PDF][PDF] Stacked extreme learning machine with horse herd optimization: a methodology for traffic sign recognition in advanced driver assistance systems

P Jayapal, V Muvva… - Mechatronics and …, 2023 - library.acadlore.com
In the quest for autonomous vehicle safety and road infrastructure management, traffic sign
recognition (TSR) remains paramount. Recent advancements in accuracy across various …

Adapting Image Classification Adversarial Detection Methods for Traffic Sign Classification in Autonomous Vehicles: A Comparative Study

DS Sarwatt, F Kulwa, J Ding… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Autonomous driving systems critically depend on accurately classifying traffic signs, a task
that is jeopardized by adversarial attacks. This paper focuses on the relatively unexplored …

[HTML][HTML] A Vision–Language Model-Based Traffic Sign Detection Method for High-Resolution Drone Images: A Case Study in Guyuan, China

J Yao, J Li, Y Li, M Zhang, C Zuo, S Dong, Z Dai - Sensors, 2024 - mdpi.com
As a fundamental element of the transportation system, traffic signs are widely used to guide
traffic behaviors. In recent years, drones have emerged as an important tool for monitoring …

Exploring Explainable Artificial Intelligence Techniques for Interpretable Neural Networks in Traffic Sign Recognition Systems

MA Khan, H Park - Electronics, 2024 - mdpi.com
Traffic Sign Recognition (TSR) plays a vital role in intelligent transportation systems (ITS) to
improve road safety and optimize traffic management. While existing TSR models perform …

Real-time traffic sign detection and recognition system using computer vision and machine learning

R Patil, P Ahire, K Bamane, A Patankar… - Journal of Electrical …, 2024 - search.proquest.com
The use of computer vision technology for our system has taken a huge leap and has
revolutionized the way in which road safety is managed and maintained. This part of the …