@inproceedings{b80558b3297342008da19f7c58ecf752,
title = "Proactive MDP-based collision avoidance algorithm for autonomous cars",
abstract = "This paper considers a decision making problem of an autonomous car driving through the intersection with the presence of human-driving cars. A proactive collision avoidance system based on a learning-based MDP model is proposed in contrast to a reactive system. This approach allows to pose the question as an optimization problem. The proposed learning algorithm explicitly describes the interaction with the environment through a probabilistic transition model. The effectiveness of this concept is supported by a variety of simulations which include driving behaviors with Gaussian-distributed velocity, random actions and real human driving.",
author = "Denis Osipychev and Duy Tran and Weihua Sheng and Girish Chowdhary and Ruili Zeng",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 5th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015 ; Conference date: 09-06-2015 Through 12-06-2015",
year = "2015",
month = oct,
day = "2",
doi = "10.1109/CYBER.2015.7288078",
language = "English (US)",
series = "2015 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "983--988",
booktitle = "2015 IEEE International Conference on Cyber Technology in Automation, Control and Intelligent Systems, IEEE-CYBER 2015",
address = "United States",
}