A review of sensor technologies for perception in automated driving

E Marti, MA De Miguel, F Garcia… - IEEE Intelligent …, 2019 - ieeexplore.ieee.org
After more than 20 years of research, ADAS are common in modern vehicles available in the
market. Automated Driving systems, still in research phase and limited in their capabilities …

Vision-based traffic sign detection and recognition systems: Current trends and challenges

SB Wali, MA Abdullah, MA Hannan, A Hussain… - Sensors, 2019 - mdpi.com
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …

Toward performing image classification and object detection with convolutional neural networks in autonomous driving systems: A survey

T Turay, T Vladimirova - IEEE Access, 2022 - ieeexplore.ieee.org
Nowadays Convolutional Neural Networks (CNNs) are being employed in a wide range of
industrial technologies for a variety of sectors, such as medical, automotive, aviation …

[HTML][HTML] Deep learning in Transportation: Optimized driven deep residual networks for Arabic traffic sign recognition

G Latif, DA Alghmgham, R Maheswar, J Alghazo… - Alexandria Engineering …, 2023 - Elsevier
Car manufacturers around the globe are in a race to design and build driverless cars. The
concept of driverless is also being applied to any moving vehicle such as wheelchairs, golf …

A black-box adversarial attack for poisoning clustering

AE Cinà, A Torcinovich, M Pelillo - Pattern Recognition, 2022 - Elsevier
Clustering algorithms play a fundamental role as tools in decision-making and sensible
automation processes. Due to the widespread use of these applications, a robustness …

Real-time (vision-based) road sign recognition using an artificial neural network

KT Islam, RG Raj - Sensors, 2017 - mdpi.com
Road sign recognition is a driver support function that can be used to notify and warn the
driver by showing the restrictions that may be effective on the current stretch of road …

Two‐stage traffic sign detection and recognition based on SVM and convolutional neural networks

A Hechri, A Mtibaa - IET Image Processing, 2020 - Wiley Online Library
Nowadays, traffic sign recognition is the most important task of advanced driver assistance
systems since it improves the safety and comfort of drivers. However, it remains a …

Traffic sign recognition with lightweight two-stage model in complex scenes

Z Wang, J Wang, Y Li, S Wang - IEEE transactions on intelligent …, 2020 - ieeexplore.ieee.org
Traffic sign recognition with high accuracy and real-time is an important part of the intelligent
transportation system. In this article, based on large-scale traffic signs and the inherent …

[HTML][HTML] Where to from here? On the future development of autonomous vehicles from a cognitive systems perspective

S Mahmoud, E Billing, H Svensson, S Thill - Cognitive Systems Research, 2022 - Elsevier
Self-driving cars not only solve the problem of navigating safely from location A to location B;
they also have to deal with an abundance of (sometimes unpredictable) factors, such as …

A review on driving control issues for smart electric vehicles

TS Haque, MH Rahman, MR Islam, MA Razzak… - IEEE …, 2021 - ieeexplore.ieee.org
Smart electric vehicles (EVs) are attractive because of their clean, zero-emission, low impact
on the environment whilst providing a safer and smoother riding experience. To provide the …