Traffic Sign Detection
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Benchmarks
Most implemented
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
Traffic Sign Detection under Challenging Conditions: A Deeper Look Into Performance Variations and Spectral Characteristics
Model Agnostic Defence against Backdoor Attacks in Machine Learning
Challenging Environments for Traffic Sign Detection: Reliability Assessment under Inclement Conditions
A Hierarchical Deep Architecture and Mini-Batch Selection Method For Joint Traffic Sign and Light Detection
YOLO-CCA: A Context-Based Approach for Traffic Sign Detection
Papers
Multi-Modal Traffic Sign Detection with Semantic Attributes for Autonomous Driving
Reliable traffic sign detection is a prerequisite for the global deployment of autonomous driving systems, where regulatory compliance and road safety depend on perceiving signs correctly across regions, ranges, and weat…
Traffic Sign DetectionAutonomous DrivingObject DetectionHierarchically Decoupled Mixture-of-Experts for Robust Traffic Sign Recognition in Complex Driving Scenarios
Traffic sign detection is a fundamental component of environmental perception in autonomous driving and intelligent transportation systems. However, most existing detectors rely on static inference with globally shared p…
Traffic Sign RecognitionTraffic Sign DetectionAutonomous DrivingEfficient Cross-Country Data Acquisition Strategy for ADAS via Street-View Imagery
Deploying ADAS and ADS across countries remains challenging due to differences in legislation, traffic infrastructure, and visual conventions, which introduce domain shifts that degrade perception performance. Traditiona…
Traffic Sign DetectionArgos: A Decentralized Federated System for Detection of Traffic Signs in CAVs
Connected and automated vehicles generate vast amounts of sensor data daily, raising significant privacy and communication challenges for centralized machine learning approaches in perception tasks. This study presents a…
Traffic Sign DetectionFederated LearningContrastive Learning-Driven Traffic Sign Perception: Multi-Modal Fusion of Text and Vision
Traffic sign recognition, as a core component of autonomous driving perception systems, directly influences vehicle environmental awareness and driving safety. Current technologies face two significant challenges: first,…
Traffic Sign RecognitionTraffic Sign DetectionContrastive LearningAutonomous DrivingYOLO-LLTS: Real-Time Low-Light Traffic Sign Detection via Prior-Guided Enhancement and Multi-Branch Feature Interaction
Detecting traffic signs effectively under low-light conditions remains a significant challenge. To address this issue, we propose YOLO-LLTS, an end-to-end real-time traffic sign detection algorithm specifically designed …
Small Object DetectionTraffic Sign Detection