@inproceedings{11f043e0400344a6b352748a7fcbade8,
title = "A compact exploration strategy for indoor flight vehicles",
abstract = "This paper presents a compact exploration strategy designed to be implemented onboard indoor Miniature Air Vehicles (MAVs) operating in cluttered and confined environments. The exploration strategy uses 2D range information from a laser range scanner to generate velocity commands by blending a Sensor-based Random Tree frontier planner with a wall-following velocity field generator. The combined approach leverages the efficient exploration capabilities of frontier-based guidance and ensures that the vehicles follows a path that is free of obstacles and conducive to maintaining good scan geometry through a wall-following approach. The strategy has been successfully implemented and tested on a Quadrotor MAV and simulation results are presented. Flight test results shall be included in the final version.",
author = "Chintasid Pravitra and Girish Chowdhary and Eric Johnson",
year = "2011",
doi = "10.1109/CDC.2011.6161200",
language = "English (US)",
isbn = "9781612848006",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "3572--3577",
booktitle = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011",
address = "United States",
note = "2011 50th IEEE Conference on Decision and Control and European Control Conference, CDC-ECC 2011 ; Conference date: 12-12-2011 Through 15-12-2011",
}