Self-driving cars: A survey

C Badue, R Guidolini, RV Carneiro, P Azevedo… - Expert systems with …, 2021 - Elsevier
We survey research on self-driving cars published in the literature focusing on autonomous
cars developed since the DARPA challenges, which are equipped with an autonomy system …

Research advances and challenges of autonomous and connected ground vehicles

A Eskandarian, C Wu, C Sun - IEEE Transactions on Intelligent …, 2019 - ieeexplore.ieee.org
Autonomous vehicle (AV) technology can provide a safe and convenient transportation
solution for the public, but the complex and various environments in the real world make it …

CCTSDB 2021: a more comprehensive traffic sign detection benchmark

J Zhang, X Zou, LD Kuang, J Wang… - Human-centric …, 2022 - centaur.reading.ac.uk
Traffic signs are one of the most important information that guide cars to travel, and the
detection of traffic signs is an important component of autonomous driving and intelligent …

A full stage data augmentation method in deep convolutional neural network for natural image classification

Q Zheng, M Yang, X Tian, N Jiang… - Discrete Dynamics in …, 2020 - Wiley Online Library
Nowadays, deep learning has achieved remarkable results in many computer vision related
tasks, among which the support of big data is essential. In this paper, we propose a full stage …

Improved traffic sign detection and recognition algorithm for intelligent vehicles

J Cao, C Song, S Peng, F Xiao, S Song - Sensors, 2019 - mdpi.com
Traffic sign detection and recognition are crucial in the development of intelligent vehicles.
An improved traffic sign detection and recognition algorithm for intelligent vehicles is …

Simultaneous traffic sign detection and boundary estimation using convolutional neural network

HS Lee, K Kim - IEEE Transactions on Intelligent Transportation …, 2018 - ieeexplore.ieee.org
We propose a novel traffic sign detection system that simultaneously estimates the location
and precise boundary of traffic signs using convolutional neural network (CNN). Estimating …

Machine vision based traffic sign detection methods: Review, analyses and perspectives

C Liu, S Li, F Chang, Y Wang - Ieee Access, 2019 - ieeexplore.ieee.org
Traffic signs recognition (TSR) is an important part of some advanced driver-assistance
systems (ADASs) and auto driving systems (ADSs). As the first key step of TSR, traffic sign …

Multi-feature fusion and enhancement single shot detector for traffic sign recognition

Y Jin, Y Fu, W Wang, J Guo, C Ren, X Xiang - IEEE access, 2020 - ieeexplore.ieee.org
Road traffic sign detection and recognition play an important role in advanced driver
assistance systems (ADAS) by providing real-time road sign perception information. In this …

Vision-based autonomous vehicle systems based on deep learning: A systematic literature review

MI Pavel, SY Tan, A Abdullah - Applied Sciences, 2022 - mdpi.com
In the past decade, autonomous vehicle systems (AVS) have advanced at an exponential
rate, particularly due to improvements in artificial intelligence, which have had a significant …

Automatic traffic sign detection and recognition using SegU-Net and a modified Tversky loss function with L1-constraint

U Kamal, TI Tonmoy, S Das… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Traffic sign detection is a central part of autonomous vehicle technology. Recent advances
in deep learning algorithms have motivated researchers to use neural networks to perform …