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 …

Overview of environment perception for intelligent vehicles

H Zhu, KV Yuen, L Mihaylova… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …

The nature of feelings: evolutionary and neurobiological origins

A Damasio, GB Carvalho - Nature reviews neuroscience, 2013 - nature.com
Feelings are mental experiences of body states. They signify physiological need (for
example, hunger), tissue injury (for example, pain), optimal function (for example, well …

Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

J Stallkamp, M Schlipsing, J Salmen, C Igel - Neural networks, 2012 - Elsevier
Traffic signs are characterized by a wide variability in their visual appearance in real-world
environments. For example, changes of illumination, varying weather conditions and partial …

Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey

A Mogelmose, MM Trivedi… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
In this paper, we provide a survey of the traffic sign detection literature, detailing detection
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …

Traffic sign detection and recognition using fully convolutional network guided proposals

Y Zhu, C Zhang, D Zhou, X Wang, X Bai, W Liu - Neurocomputing, 2016 - Elsevier
Detecting and recognizing traffic signs is a hot topic in the field of computer vision with lots of
applications, eg, safe driving, path planning, robot navigation etc. We propose a novel …

DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements

WA Haque, S Arefin, ASM Shihavuddin… - Expert Systems with …, 2021 - Elsevier
For a safe and automated vehicle driving application, it is a prerequisite to have a robust and
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …

Real-time detection and recognition of road traffic signs

J Greenhalgh, M Mirmehdi - IEEE transactions on intelligent …, 2012 - ieeexplore.ieee.org
This paper proposes a novel system for the automatic detection and recognition of traffic
signs. The proposed system detects candidate regions as maximally stable extremal regions …

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 …

An incremental framework for video-based traffic sign detection, tracking, and recognition

Y Yuan, Z Xiong, Q Wang - IEEE Transactions on Intelligent …, 2016 - ieeexplore.ieee.org
Video-based traffic sign detection, tracking, and recognition is one of the important
components for the intelligent transport systems. Extensive research has shown that pretty …