An incremental framework for video-based traffic sign detection, tracking, and recognition
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 …
components for the intelligent transport systems. Extensive research has shown that pretty …
An Encoder‐Decoder Network Based FCN Architecture for Semantic Segmentation
Y Xing, L Zhong, X Zhong - Wireless Communications and …, 2020 - Wiley Online Library
In recent years, the convolutional neural network (CNN) has made remarkable
achievements in semantic segmentation. The method of semantic segmentation has a …
achievements in semantic segmentation. The method of semantic segmentation has a …
Efficient ladder-style densenets for semantic segmentation of large images
Recent progress of deep image classification models provides great potential for improving
related computer vision tasks. However, the transition to semantic segmentation is …
related computer vision tasks. However, the transition to semantic segmentation is …
Spatial-related traffic sign inspection for inventory purposes using mobile laser scanning data
This paper presents a spatial-related traffic sign inspection process for sign type, position,
and placement using mobile laser scanning (MLS) data acquired by a RIEGL VMX-450 …
and placement using mobile laser scanning (MLS) data acquired by a RIEGL VMX-450 …
Computer vision systems in road vehicles: a review
The number of road vehicles significantly increased in recent decades. This trend
accompanied a build-up of road infrastructure and development of various control systems …
accompanied a build-up of road infrastructure and development of various control systems …
Traffic sign detection using a cascade method with fast feature extraction and saliency test
Automatic traffic sign detection is challenging due to the complexity of scene images, and
fast detection is required in real applications such as driver assistance systems. In this …
fast detection is required in real applications such as driver assistance systems. In this …
A two-sided matching model for data stream processing in the cloud–fog continuum
Latency-sensitive and bandwidth-intensive stream processing applications are dominant
traffic generators over the Internet network. A stream consists of a continuous sequence of …
traffic generators over the Internet network. A stream consists of a continuous sequence of …
Deep learning–based traffic sign recognition for unmanned autonomous vehicles
D Zang, Z Wei, M Bao, J Cheng… - Proceedings of the …, 2018 - journals.sagepub.com
Being one of the key techniques for unmanned autonomous vehicle, traffic sign recognition
is applied to assist autopilot. Colors are very important clues to identify traffic signs; however …
is applied to assist autopilot. Colors are very important clues to identify traffic signs; however …
Using mobile LiDAR point clouds for traffic sign detection and sign visibility estimation
This paper presents a novel method for traffic sign detection and visibility evaluation from
mobile Light Detection and Ranging (LiDAR) point clouds and the corresponding images …
mobile Light Detection and Ranging (LiDAR) point clouds and the corresponding images …
Traffic sign detection and recognition using RGSM and a novel feature extraction method
M Sudha, DVP Galdis pushparathi - Peer-to-Peer Networking and …, 2021 - Springer
Independent mobility involves various challenges to Visual Impairment or Blindness (VIB)
people. Most of the mobile devices are accessible to people with VIB that makes the use of …
people. Most of the mobile devices are accessible to people with VIB that makes the use of …