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Traffic Sign Recognition

Traffic sign recognition is the task of recognising traffic signs in an image or video.

( Image credit: Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks )

Papers

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Showing 76–100 of 127 papers

TitleStatusHype
Towards Audit Requirements for AI-based Systems in Mobility Applications—0
Towards Multimodal Multitask Scene Understanding Models for Indoor Mobile Agents—0
Traffic Sign Classification Using Deep and Quantum Neural Networks—0
Traffic Sign Recognition Using Local Vision Transformer—0
Training A Neural Network For Partially Occluded Road Sign Identification In The Context Of Autonomous Vehicles—0
Visualizing Color-wise Saliency of Black-Box Image Classification Models—0
Voice-Assisted Real-Time Traffic Sign Recognition System Using Convolutional Neural Network—0
YOLO-TS: Real-Time Traffic Sign Detection with Enhanced Accuracy Using Optimized Receptive Fields and Anchor-Free Fusion—0
Human-in-the-loop Reasoning For Traffic Sign Detection: Collaborative Approach Yolo With Video-llava—0
Hybrid Classical-Quantum Deep Learning Models for Autonomous Vehicle Traffic Image Classification Under Adversarial Attack—0
Improving Prediction Confidence in Learning-Enabled Autonomous Systems—0
Improving Road Signs Detection performance by Combining the Features of Hough Transform and Texture—0
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions—0
Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles—0
Invisible Reflections: Leveraging Infrared Laser Reflections to Target Traffic Sign Perception—0
TrISec: Training Data-Unaware Imperceptible Security Attacks on Deep Neural Networks—0
ITPatch: An Invisible and Triggered Physical Adversarial Patch against Traffic Sign Recognition—0
LaserGuider: A Laser Based Physical Backdoor Attack against Deep Neural Networks—0
Localized Traffic Sign Detection with Multi-scale Deconvolution Networks—0
M3E-Yolo: A New Lightweight Network for Traffic Sign Recognition—0
Mitigation of Camouflaged Adversarial Attacks in Autonomous Vehicles--A Case Study Using CARLA Simulator—0
Multi-layer Pruning Framework for Compressing Single Shot MultiBox Detector—0
Timeseries-aware Uncertainty Wrappers for Uncertainty Quantification of Information-Fusion-Enhanced AI Models based on Machine Learning—0
Gotta Catch 'Em All: Using Honeypots to Catch Adversarial Attacks on Neural NetworksCode0
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade DefenseCode0
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