@inproceedings{ed58258cbd99457b8d02c5566ea0ba1d,
title = "An online approach for intersection navigation of autonomous vehicle",
abstract = "Navigation through an intersection is a fundamental task that will enable an autonomous car to operate in a real traffic environment. Previous studies about intersection navigation generally assume vehicle to vehicle communication ability for all of the vehicles. Since this is unattainable in the near future, we focus on the scenario that vehicles on the road cannot communicate with each other. A new model is presented for this kind of intersection navigation as a Partially Observable Markov Decision Process problem. The proposed model can handle multiple numbers of cars in a dynamic environment. To validate the feasibility of the model, experiments are carried out with an autonomous golf cart in the university campus.",
keywords = "intention, intersection, navigation, online planning",
author = "Yang Bai and Chong, {Zhuang Jie} and Ang, {Marcelo H.} and Xueshan Gao",
note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 ; Conference date: 05-12-2014 Through 10-12-2014",
year = "2014",
month = apr,
day = "20",
doi = "10.1109/ROBIO.2014.7090651",
language = "English",
series = "2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "2127--2132",
booktitle = "2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014",
address = "United States",
}