[HTML][HTML] Deep learning techniques for vehicle detection and classification from images/videos: A survey

MA Berwo, A Khan, Y Fang, H Fahim, S Javaid… - Sensors, 2023 - mdpi.com
Detecting and classifying vehicles as objects from images and videos is challenging in
appearance-based representation, yet plays a significant role in the substantial real-time …

[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 …

[HTML][HTML] Radar sensor based machine learning approach for precise vehicle position estimation

M Sohail, AU Khan, M Sandhu, IA Shoukat, M Jafri… - Scientific Reports, 2023 - nature.com
Estimating vehicles' position precisely is essential in Vehicular Adhoc Networks (VANETs)
for their safe, autonomous, and reliable operation. The conventional approaches used for …

Implementasi Deteksi Real Time Klasifikasi Jenis Kendaraan Di Indonesia Menggunakan Metode YOLOV5

DI Mulyana, MA Rofik - Jurnal Pendidikan Tambusai, 2022 - jptam.org
Negara Indonesia mempunyai kepadatan penduduk yang sangat padat, terutama dikota-
kota besar yang dimana jalan selalu dipadati oleh berbagai jenis kendaran. Pada jam sibuk …

[HTML][HTML] A review of different components of the intelligent traffic management system (ITMS)

N Nigam, DP Singh, J Choudhary - Symmetry, 2023 - mdpi.com
Traffic congestion is a serious challenge in urban areas. So, to address this challenge, the
intelligent traffic management system (ITMS) is used to manage traffic on road networks …

[HTML][HTML] Vehicle recognition pipeline via DeepSort on aerial image datasets

M Hanzla, MO Yusuf, N Al Mudawi, T Sadiq… - Frontiers in …, 2024 - frontiersin.org
Introduction Unmanned aerial vehicles (UAVs) are widely used in various computer vision
applications, especially in intelligent traffic monitoring, as they are agile and simplify …

[HTML][HTML] Achieving adaptive visual multi-object tracking with unscented Kalman filter

G Zhang, J Yin, P Deng, Y Sun, L Zhou, K Zhang - Sensors, 2022 - mdpi.com
As an essential part of intelligent monitoring, behavior recognition, automatic driving, and
others, the challenge of multi-object tracking is still to ensure tracking accuracy and …

Modeling vehicle U-turning behavior near intersections: A deep learning approach based on TCN and multi-head attention

W Zeng, Q Lin, B Zhu, C Peng, R Yu - Expert Systems with Applications, 2024 - Elsevier
In U-turn bays near intersections, the conflict between U-turning vehicles and those going
straight-ahead results in traffic accidents since straight-ahead vehicles cannot reliably …

[HTML][HTML] A deep learning approach for brain tumor firmness detection based on five different YOLO versions: YOLOv3–YOLOv7

NF Alhussainan, B Ben Youssef, MM Ben Ismail - Computation, 2024 - mdpi.com
Brain tumor diagnosis traditionally relies on the manual examination of magnetic resonance
images (MRIs), a process that is prone to human error and is also time consuming. Recent …

Automatic detection of vehicle occupancy and driver's seat belt status using deep learning

S Hosseini, A Fathi - Signal, Image and Video Processing, 2023 - Springer
Increasing the number of personal cars on the transportation routes causes a heavy traffic
load. In many countries, special lines for high occupancy vehicles have been developed to …