Research advances and challenges of autonomous and connected ground vehicles
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 …
solution for the public, but the complex and various environments in the real world make it …
Overview of environment perception for intelligent vehicles
This paper presents a comprehensive literature review on environment perception for
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
intelligent vehicles. The state-of-the-art algorithms and modeling methods for intelligent …
Vision-based traffic sign detection and analysis for intelligent driver assistance systems: Perspectives and survey
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 …
systems for traffic sign recognition (TSR) for driver assistance. We separately describe the …
DeepThin: A novel lightweight CNN architecture for traffic sign recognition without GPU requirements
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 …
highly accurate traffic sign detection system. In this paper, we proposed a novel energy …
Vision-based traffic sign detection and recognition systems: Current trends and challenges
The automatic traffic sign detection and recognition (TSDR) system is very important
research in the development of advanced driver assistance systems (ADAS). Investigations …
research in the development of advanced driver assistance systems (ADAS). Investigations …
On circular traffic sign detection and recognition
Automatic traffic sign detection and recognition play crucial roles in several expert systems
such as driver assistance and autonomous driving systems. In this work, novel approaches …
such as driver assistance and autonomous driving systems. In this work, novel approaches …
Real-time traffic sign recognition in three stages
F Zaklouta, B Stanciulescu - Robotics and autonomous systems, 2014 - Elsevier
Abstract Traffic Sign Recognition (TSR) is an important component of Advanced Driver
Assistance Systems (ADAS). The traffic signs enhance traffic safety by informing the driver of …
Assistance Systems (ADAS). The traffic signs enhance traffic safety by informing the driver of …
CNN based traffic sign classification using Adam optimizer
An automatic detection and classification of traffic signs is an important task in Advanced
Driver Assistance System (ADAS). Convolutional Neural Network (CNN) has surpassed the …
Driver Assistance System (ADAS). Convolutional Neural Network (CNN) has surpassed the …
Automatic traffic sign detection and recognition using SegU-Net and a modified Tversky loss function with L1-constraint
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 …
in deep learning algorithms have motivated researchers to use neural networks to perform …
Traffic sign classification using kd trees and random forests
F Zaklouta, B Stanciulescu… - The 2011 international …, 2011 - ieeexplore.ieee.org
In this paper, we evaluate the performance of Kd trees and Random Forests for traffic sign
classification using different size Histogram of Oriented Gradients (HOG) descriptors and …
classification using different size Histogram of Oriented Gradients (HOG) descriptors and …