4 citations · 9 across the 3 of their papers we have counts for
3 papers
cs.CV2020★ 4 cited
Design of Efficient Deep Learning models for Determining Road Surface Condition from Roadside Camera Images and Weather Data
Juan Carrillo, Mark Crowley, Guangyuan Pan +1
Road maintenance during the Winter season is a safety critical and resource demanding operation. One of its key activities is determining road surface condition (RSC) in order to p…
eess.IV2018★ 3 cited
Winter Road Surface Condition Recognition Using A Pretrained Deep Convolutional Network
Guangyuan Pan, Liping Fu, Ruifan Yu +1
This paper investigates the application of the latest machine learning technique deep neural networks for classifying road surface conditions (RSC) based on images from smartphones…
cs.LG2017★ 2 cited
A Deep Learning Model for Traffic Flow State Classification Based on Smart Phone Sensor Data
Wenwen Tu, Feng Xiao, Liping Fu +1
This study proposes a Deep Belief Network model to classify traffic flow states. The model is capable of processing massive, high-density, and noise-contaminated data sets generate…