Traffic sign detection and recognition using event camera image reconstruction
This paper presents a method for detection and recognition of traffic signs based on information extracted from an event camera. The solution used a FireNet deep convolutional neural network to reconstruct events into greyscale frames. Two YOLOv4 network models were trained, one based on greyscale images and the other on colour images. The best result was achieved for the model trained on the basis of greyscale images, achieving an efficiency of 87.03%.
Email Address of Submitting Authortomasz.firstname.lastname@example.org
ORCID of Submitting Author0000-0001-6798-4444
Submitting Author's InstitutionAGH University of Science and Technology
Submitting Author's Country