Graph-Based Spatial-Temporal Convolutional Network for Vehicle Trajectory Prediction in Autonomous Driving

no code implementations • 27 Sep 2021 • Zihao Sheng, Yunwen Xu, Shibei Xue, Dewei Li

This paper proposes a graph-based spatial-temporal convolutional network (GSTCN) to predict future trajectory distributions of all neighbor vehicles using past trajectories.

Autonomous Driving Decision Making +2

Power Plant Performance Modeling with Concept Drift

no code implementations • 19 Oct 2017 • Rui Xu, Yunwen Xu, Weizhong Yan

Power plant is a complex and nonstationary system for which the traditional machine learning modeling approaches fall short of expectations.

BIG-bench Machine Learning regression

Concept Drift Learning with Alternating Learners

no code implementations • 18 Oct 2017 • Yunwen Xu, Rui Xu, Weizhong Yan, Paul Ardis

Data-driven predictive analytics are in use today across a number of industrial applications, but further integration is hindered by the requirement of similarity among model training and test data distributions.