36 citations · 46 across the 5 of their papers we have counts for
5 papers
Vision-Cloud Data Fusion for ADAS: A Lane Change Prediction Case Study
Yongkang Liu, Ziran Wang, Kyungtae Han +3
With the rapid development of intelligent vehicles and Advanced Driver-Assistance Systems (ADAS), a new trend is that mixed levels of human driver engagements will be involved in t…
Sensor Fusion of Camera and Cloud Digital Twin Information for Intelligent Vehicles
Yongkang Liu, Ziran Wang, Kyungtae Han +3
With the rapid development of intelligent vehicles and Advanced Driving Assistance Systems (ADAS), a mixed level of human driver engagements is involved in the transportation syste…
Risky Action Recognition in Lane Change Video Clips using Deep Spatiotemporal Networks with Segmentation Mask Transfer
Ekim Yurtsever, Yongkang Liu, Jacob Lambert +4
Advanced driver assistance and automated driving systems rely on risk estimation modules to predict and avoid dangerous situations. Current methods use expensive sensor setups and…
Exploring OpenStreetMap Availability for Driving Environment Understanding
Yang Zheng, Izzat H. Izzat, John H. L. Hansen
With the great achievement of artificial intelligence, vehicle technologies have advanced significantly from human centric driving towards fully automated driving. An intelligent v…
KU-ISPL Language Recognition System for NIST 2015 i-Vector Machine Learning Challenge
Suwon Shon, Seongkyu Mun, John H. L. Hansen +1
In language recognition, the task of rejecting/differentiating closely spaced versus acoustically far spaced languages remains a major challenge. For confusable closely spaced lang…