A Fusion Framework for Multi-Spectral Pedestrian Detection using EfficientDet

Abstract

Recently, research related to Advanced Driver Assistance Systems is active. In this paper, EfficientDet Fusion Framework for multi-spectral pedestrian detection is constructed through Sum, Max, and Concatenation at the feature level. In the experiment, it was confirmed that the performance improvement of the convergence multispectral network was quantitatively improved by about 10% compared to the single spectral network. In addition, it shows that the shortcomings of a single spectral can be actually compensated through the resulting image. In the future, various fusion studies will be conducted based on the EfficientDet Fusion Framework.