A comprehensive review of recent advances on deep vision systems

Q Abbas, MEA Ibrahim, MA Jaffar - Artificial Intelligence Review, 2019 - Springer
Real-time video objects detection, tracking, and recognition are challenging issues due to
the real-time processing requirements of the machine learning algorithms. In recent years …

Driver fatigue detection systems using multi-sensors, smartphone, and cloud-based computing platforms: a comparative analysis

Q Abbas, A Alsheddy - Sensors, 2020 - mdpi.com
Internet of things (IoT) cloud-based applications deliver advanced solutions for smart cities
to decrease traffic accidents caused by driver fatigue while driving on the road …

Lightweight and computationally faster Hypermetropic Convolutional Neural Network for small size object detection

AN Amudhan, AP Sudheer - Image and Vision Computing, 2022 - Elsevier
Object detection has been an active area of research over the past two decades. The
complexity of detecting an object increases with the increase in object speed and decrease …

Embedded night-vision system for pedestrian detection

A Nowosielski, K Małecki, P Forczmański… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Assistive vision-based solutions for the driver extend the capabilities of human vision and
support safe travel. Unfortunately, their widespread usage is generally limited to expensive …

Processing and integration of multimodal image data supporting the detection of behaviors related to reduced concentration level of motor vehicle users

A Smoliński, P Forczmański, A Nowosielski - Electronics, 2024 - mdpi.com
This paper introduces a comprehensive framework for the detection of behaviors indicative
of reduced concentration levels among motor vehicle operators, leveraging multimodal …

Mobile system of decision-making on road threats

K Małecki, J Wątróbski - Procedia computer science, 2017 - Elsevier
Detecting and recognizing brake lights is essential to avoid collisions and accidents caused
by a vehicle driving behind another vehicle. This refers to traffic risk, among other things, to …

DCOP: Deep Learning for Road Safety System

B Hyoju, ABE Salahuddin, H Heyasat… - Proceedings of the …, 2023 - Springer
The essential component of the transportation system of the future is autonomous vehicles.
Future automobiles from automotive manufacturers are being built with autonomous …

Mobile driver assistance system based on data from the diagnostic port of vehicle

S Iwan, K Małecki, Ł Zaborowski… - Archives of Transport …, 2018 - yadda.icm.edu.pl
The article presents one application from the ADAS (Advanced Driver Assistance Systems)
group of systems, which enables the reading of parameters from the module connected to …

[PDF][PDF] Improving the effectivity of urban freight transport by means of cellular automata simulations

K Kijewska, K Małecki - Archives of Transport System Telematics, 2020 - bibliotekanauki.pl
Unloading bays are one of the most popular and simple to implement solutions to support
development of sustainable urban freight transport systems. The solution is aimed at …

Classification of Vehicles in Aerial Imagery Using Deep Convolutional Neural Networks

P Mazurek… - 2018 23rd International …, 2018 - ieeexplore.ieee.org
Aerial imagery is important for delivery of spatial information from large surface areas. The
detection and classification of vehicles in use or parked is important for the analysis of road …