Traffic sign detection algorithm based on feature expression enhancement
Sign Up to like & getrecommendations! Published in 2021 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-021-11413-x
Abstract: Traffic sign detection is an important research direction in computer vision, which is of great significance for autonomous driving and advanced assisted driving systems. Due to the complexity of traffic signs in natural scenes, existing… read more here.
Keywords: traffic; detection; sign detection; feature expression ... See more keywords
Thin isotropic FLAIR MR images at 1.5T increase the yield of focal cortical dysplasia transmantle sign detection in frontal lobe epilepsy
Sign Up to like & getrecommendations! Published in 2017 at "Epilepsy Research"
DOI: 10.1016/j.eplepsyres.2017.02.018
Abstract: OBJECTIVE The transmantle sign is a distinctive imaging marker of focal cortical dysplasia (FCD) type II in frontal lobe epilepsy (FLE), which is revealed predominantly by fluid-attenuation inversion recovery (FLAIR) sequences. Although the transmantle sign… read more here.
Keywords: isotropic flair; sign detection; transmantle sign; flair ... See more keywords
TSingNet: Scale-aware and context-rich feature learning for traffic sign detection and recognition in the wild
Sign Up to like & getrecommendations! Published in 2021 at "Neurocomputing"
DOI: 10.1016/j.neucom.2021.03.049
Abstract: Abstract Traffic sign detection and recognition in the wild is a challenging task. Existing techniques are often incapable of detecting small or occluded traffic signs because of the scale variation and context loss, which causes… read more here.
Keywords: scale aware; traffic; sign detection; traffic sign ... See more keywords
An Improved Traffic Sign Detection and Recognition Deep Model Based on YOLOv5
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3281551
Abstract: In this paper, we aim at the traffic sign detection and recognition in complex road conditions. We proposed a deep model for traffic sign detection and recognition. There are a few difficulties in traffic sign… read more here.
Keywords: traffic sign; detection; model; sign detection ... See more keywords
A 17 mW 3-to-5 GHz Duty-Cycled Vital Sign Detection Radar Transceiver With Frequency Hopping and Time-Domain Oversampling
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Circuits and Systems I: Regular Papers"
DOI: 10.1109/tcsi.2016.2623763
Abstract: This paper presents a low power interference-robust radar transceiver architecture for noncontact vital sign detection and mobile healthcare applications. A duty-cycled transceiver design is proposed to significantly reduce power consumption of front-end circuits. Occupying 3-to-5… read more here.
Keywords: sign detection; radar transceiver; duty; frequency hopping ... See more keywords
Deep Saliency With Channel-Wise Hierarchical Feature Responses for Traffic Sign Detection
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2867183
Abstract: Traffic sign detection is challenging in cases of a complex background, occlusions, distortions, and so on. To overcome the above-mentioned challenges, this paper pays close attention to channel-wise feature responses to propose an end-to-end deep… read more here.
Keywords: channel wise; sign detection; feature; traffic sign ... See more keywords
Traffic Sign Detection Using a Multi-Scale Recurrent Attention Network
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2018.2886283
Abstract: Traffic sign detection plays an important role in intelligent transportation systems. But traffic signs are still not well-detected by deep convolution neural network-based methods because the sizes of their feature maps are constrained, and the… read more here.
Keywords: sign detection; recurrent attention; traffic; detection ... See more keywords
Real-Time Traffic Sign Detection and Recognition using CNN
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Latin America Transactions"
DOI: 10.1109/tla.2020.9082723
Abstract: Traffic signs presents on streets and highways have a distinct set of features which may be used to differentiate each one from each other. We propose in this paper a real-time traffic sign detection and… read more here.
Keywords: real time; time traffic; sign detection; traffic ... See more keywords
Multiscale Traffic Sign Detection Method in Complex Environment Based on YOLOv4
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/5297605
Abstract: Traffic sign detection is a challenging problem in the field of unmanned driving, particularly important in complex environments. We propose a method, based on the improved You only look once (YOLO) v4, to detect and… read more here.
Keywords: method; feature; traffic; sign detection ... See more keywords
A Novel Lightweight Real-Time Traffic Sign Detection Integration Framework Based on YOLOv4
Sign Up to like & getrecommendations! Published in 2022 at "Entropy"
DOI: 10.3390/e24040487
Abstract: As a popular research direction in the field of intelligent transportation, various scholars have widely concerned themselves with traffic sign detection However, there are still some key issues that need to be further solved in… read more here.
Keywords: traffic; sign detection; framework; detection ... See more keywords
M-YOLO: Traffic Sign Detection Algorithm Applicable to Complex Scenarios
Sign Up to like & getrecommendations! Published in 2022 at "Symmetry"
DOI: 10.3390/sym14050952
Abstract: Traffic signs can be seen everywhere in daily life. Traffic signs are symmetrical, and traffic sign detection is easily affected by distortion, distance, light intensity and other factors, which also increases the potential safety hazards… read more here.
Keywords: traffic; traffic signs; detection; sign detection ... See more keywords