Object detection and object tracking in front of the vehicle using front view camera

J Ciberlin, R Grbic, N Teslić… - 2019 Zooming Innovation …, 2019 - ieeexplore.ieee.org
Modern vehicles are equipped with the different systems that help driver in the driving
process ensuring safer and more comfortable driving. These systems are called Advanced …

Traffic sign detection using YOLOv3

D Mijić, M Brisinello, M Vranješ… - 2020 IEEE 10th …, 2020 - ieeexplore.ieee.org
Advanced driving assistance systems (ADASs) are increasingly being installed in modern
vehicles because they make driving safer and more comfortable. With the implementation of …

The real-time detection of traffic participants using YOLO algorithm

A Ćorović, V Ilić, S Ðurić, M Marijan… - 2018 26th …, 2018 - ieeexplore.ieee.org
Object detection is one of the key software components in the next generation of
autonomous cars. Classical computer vision and machine learning approaches for object …

Detection of vehicle with Infrared images in Road Traffic using YOLO computational mechanism

MT Mahmood, SRA Ahmed… - IOP Conference Series …, 2020 - iopscience.iop.org
Vehicle counting is an important process in the estimation of road traffic density to evaluate
the traffic conditions in intelligent transportation systems. With increased use of cameras in …

Vehicle detection in the autonomous vehicle environment for potential collision warning

M Gluhaković, M Herceg, M Popovic… - 2020 Zooming …, 2020 - ieeexplore.ieee.org
In this paper, a method for the vehicles detection in the surroundings of an autonomous
vehicle and warnings of potential collision with them is presented. The method, which …

Object detection for autonomous driving using yolo algorithm

A Sarda, S Dixit, A Bhan - 2021 2nd International Conference …, 2021 - ieeexplore.ieee.org
In this paper, we have presented the work that we have done pertaining to object detection
for the purpose of aiding autonomous vehicles during navigation. The detections are carried …

Smart Traffic monitoring system using YOLO and deep learning techniques

AR Kalva, JS Chelluboina… - 2023 7th International …, 2023 - ieeexplore.ieee.org
As the world's population grows, there are more vehicles on the road every day, which leads
to an increase in heavy traffic. Traffic monitoring is essential for preventing accidents. To …

YOLOv3 Algorithm with additional convolutional neural network trained for traffic sign recognition

B Novak, V Ilić, B Pavković - 2020 Zooming Innovation in …, 2020 - ieeexplore.ieee.org
The ability of perception and understanding all static and dynamic objects around vehicle in
various driving and environmental conditions represent one of the main requirements for …

An implementation of real-time traffic signs and road objects detection based on mobile GPU platforms

E Güney, C Bayilmiş, B Çakan - IEEE access, 2022 - ieeexplore.ieee.org
Thanks to the rapid development of computer vision and deep learning technologies,
advanced driver assistance systems (ADAS) have recently become widespread. These …

[PDF][PDF] Traffic signs recognition and distance estimation using a monocular camera

S Saleh, SA Khwandah, A Heller… - … Actual Problems of …, 2019 - researchgate.net
Traffic signs are integral component of road transport infrastructure. They deliver essential
driving information to road users, which in turn require them to adapt their driving behavior to …