Vulnerable road users and connected autonomous vehicles interaction: A survey

A Reyes-Muñoz, J Guerrero-Ibáñez - Sensors, 2022 - mdpi.com
There is a group of users within the vehicular traffic ecosystem known as Vulnerable Road
Users (VRUs). VRUs include pedestrians, cyclists, motorcyclists, among others. On the other …

A progressive review: Emerging technologies for ADAS driven solutions

J Nidamanuri, C Nibhanupudi, R Assfalg… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Over the last decade, the Advanced Driver Assistance System (ADAS) concept has evolved
significantly. ADAS involves several technologies such as automotive electronics, vehicle-to …

Intelligent traffic-monitoring system based on YOLO and convolutional fuzzy neural networks

CJ Lin, JY Jhang - IEEE Access, 2022 - ieeexplore.ieee.org
With the rapid pace of urbanization, the number of vehicles traveling between cities has
increased significantly. Consequently, many traffic-related problems have emerged, such as …

Object detection learning techniques for autonomous vehicle applications

M Masmoudi, H Ghazzai, M Frikha… - … Electronics and Safety …, 2019 - ieeexplore.ieee.org
Autonomous vehicles have been considered as one of the most important trending topics in
the domain of intelligent transportation systems. It is expected that most of the leading …

YOLO-CCS: Vehicle detection algorithm based on coordinate attention mechanism

Y Li, M Zhang, C Zhang, H Liang, P Li, W Zhang - Digital Signal Processing, 2024 - Elsevier
Accurate and fast vehicle detection is a key factor in the field of intelligent transportation. To
solve the problems such as low recognition accuracy, slow detection speed, and poor …

HOG feature extraction and KNN classification for detecting vehicle in the highway

FAIA Putra, F Utaminingrum… - … (Indonesian Journal of …, 2020 - journal.ugm.ac.id
Autonomous car is a vehicle that can guide itself without human intervention. Various types
of rudderless vehicles are being developed. Future systems where computers take over the …

A smart traffic control system based on pixel-labeling and sort tracker

M Alonazi, AM Qureshi, SS Alotaibi, NA Almujally… - IEEE …, 2023 - ieeexplore.ieee.org
Autonomous vehicle detection and tracking are crucial for intelligent transportation
management and control systems. Although many techniques are used to develop smart …

G-YOLO: A YOLOv7-based target detection algorithm for lightweight hazardous chemical vehicles

C Yu, L Zhou, B Liu, Y Zhao, P Zhu, L Chen, B Chen - Plos one, 2024 - journals.plos.org
Hazardous chemical vehicles are specialized vehicles used for transporting flammable
gases, medical waste, and liquid chemicals, among other dangerous chemical substances …

On-road vehicle detection using support vector machine and decision tree classifications

AM Ali, WI Eltarhouni, KA Bozed - … of the 6th International Conference on …, 2020 - dl.acm.org
On-road vehicle detection is a major part of various applications, such as driver assistance
systems and auto-driving, and these systems need to detect vehicles robustly and …

Vehicle classification and tracking based on deep learning

H Ahn, YH Lee - Journal of web engineering, 2022 - ieeexplore.ieee.org
Traffic volume is gradually increasing due to the development of technology and the
concentration of people in cities. As the results, traffic congestion and traffic accidents are …