Traffic Sign Detection

14 papers with code • 3 benchmarks • 5 datasets

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Latest papers with no code

Optimized Detection and Classification on GTRSB: Advancing Traffic Sign Recognition with Convolutional Neural Networks

no code yet • 13 Mar 2024

In the rapidly evolving landscape of transportation, the proliferation of automobiles has made road traffic more complex, necessitating advanced vision-assisted technologies for enhanced safety and navigation.

Efficient Vision Transformer for Accurate Traffic Sign Detection

no code yet • 2 Nov 2023

This research paper addresses the challenges associated with traffic sign detection in self-driving vehicles and driver assistance systems.

Real-Time Traffic Sign Detection: A Case Study in a Santa Clara Suburban Neighborhood

no code yet • 14 Oct 2023

The project's primary objectives are to train the YOLOv5 model on a diverse dataset of traffic sign images and deploy the model on a suitable hardware platform capable of real-time inference.

Explainable and Trustworthy Traffic Sign Detection for Safe Autonomous Driving: An Inductive Logic Programming Approach

no code yet • 30 Aug 2023

This approach is more robust against adversarial attacks, as it mimics human-like perception and is less susceptible to the limitations of current DNN classifiers.

Adversarial Attacks on Traffic Sign Recognition: A Survey

no code yet • 17 Jul 2023

In this work, we survey existing works performing either digital or real-world attacks on traffic sign detection and classification models.

Context-Aware Block Net for Small Object Detection

no code yet • IEEE Transactions on Cybernetics 2023

State-of-the-art object detectors usually progressively downsample the input image until it is represented by small feature maps, which loses the spatial information and compromises the representation of small objects.

Salient Sign Detection In Safe Autonomous Driving: AI Which Reasons Over Full Visual Context

no code yet • 14 Jan 2023

Next, we use a custom salience loss function, Salience-Sensitive Focal Loss, to train a Deformable DETR object detection model in order to emphasize stronger performance on salient signs.

Traffic sign detection and recognition using event camera image reconstruction

no code yet • 16 Dec 2022

This paper presents a method for detection and recognition of traffic signs based on information extracted from an event camera.

Traffic Sign Detection With Event Cameras and DCNN

no code yet • 27 Jul 2022

The use of a fusion of the considered representations allows us to obtain a detector with higher accuracy of 89. 9% mAP@0. 5.