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 …
Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition
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 …
environments. For example, changes of illumination, varying weather conditions and partial …
The German traffic sign recognition benchmark: a multi-class classification competition
The “German Traffic Sign Recognition Benchmark” is a multi-category classification
competition held at IJCNN 2011. Automatic recognition of traffic signs is required in …
competition held at IJCNN 2011. Automatic recognition of traffic signs is required in …
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 …
Multi-view traffic sign detection, recognition, and 3D localisation
Several applications require information about street furniture. Part of the task is to survey all
traffic signs. This has to be done for millions of km of road, and the exercise needs to be …
traffic signs. This has to be done for millions of km of road, and the exercise needs to be …
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 …
Traffic sign detection and recognition based on random forests
In this paper we present a new traffic sign detection and recognition (TSDR) method, which
is achieved in three main steps. The first step segments the image based on thresholding of …
is achieved in three main steps. The first step segments the image based on thresholding of …
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 …
Detection of US traffic signs
This paper presents a comprehensive research study of the detection of US traffic signs.
Until now, the research in Traffic Sign Recognition systems has been centered on European …
Until now, the research in Traffic Sign Recognition systems has been centered on European …