← Search

Kecheng Xu

2 accepted papers

2020

Lane-Attention: Predicting Vehicles’ Moving Trajectories by Learning Their Attention Over Lanes

IROS 2020poster

Accurately forecasting the future movements of surrounding vehicles is essential for safe and efficient operations of autonomous driving cars. This task is difficult because a vehicle's moving trajectory is greatly determined by its driver's intention, which is often hard to estimate. By leveraging…

Cited by 50SourceScholar
2019

An Automated Learning-Based Procedure for Large-scale Vehicle Dynamics Modeling on Baidu Apollo Platform

IROS 2019poster

In the autonomous driving industry, vehicle dynamic models are important to control-in-the-loop simulations. For current commercial self-driving simulators, vehicle dynamic models are expressed explicitly by sophisticated analytical equations, which are accurate but difficult to build and expensive…

Cited by 60SourceScholar