[HTML][HTML] Deep learning techniques for vehicle detection and classification from images/videos: A survey
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 …
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 …
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
Estimating vehicles' position precisely is essential in Vehicular Adhoc Networks (VANETs)
for their safe, autonomous, and reliable operation. The conventional approaches used for …
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 …
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)
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 …
intelligent traffic management system (ITMS) is used to manage traffic on road networks …
[HTML][HTML] Vehicle recognition pipeline via DeepSort on aerial image datasets
Introduction Unmanned aerial vehicles (UAVs) are widely used in various computer vision
applications, especially in intelligent traffic monitoring, as they are agile and simplify …
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 …
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
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 …
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 …
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 …
load. In many countries, special lines for high occupancy vehicles have been developed to …