loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mohammad O. Khan and Gary B. Parker

Affiliation: Department of Computer Science, Connecticut College, New London, CT and U.S.A.

Keyword(s): Deep Learning, Artificial Neural Networks, Obstacle Avoidance, Indoor, TurtleBot, Mobile Robotics.

Abstract: A robust obstacle avoidance control program was developed for a mobile robot in the context of tight, dynamic indoor environments. Deep Learning was applied in order to produce a refined classifier for decision making. The network was trained on low quality raw RGB images. A fine-tuning approach was taken in order to leverage pre-learned parameters from another network and to speed up learning time. The robot successfully learned to avoid obstacles as it drove autonomously in a tight classroom/laboratory setting.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 3.138.101.95

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Khan, M. and Parker, G. (2019). Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network. In Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA; ISBN 978-989-758-384-1; ISSN 2184-3236, SciTePress, pages 403-411. DOI: 10.5220/0008165104030411

@conference{ncta19,
author={Mohammad O. Khan. and Gary B. Parker.},
title={Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network},
booktitle={Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA},
year={2019},
pages={403-411},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008165104030411},
isbn={978-989-758-384-1},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the 11th International Joint Conference on Computational Intelligence (IJCCI 2019) - NCTA
TI - Vision based Indoor Obstacle Avoidance using a Deep Convolutional Neural Network
SN - 978-989-758-384-1
IS - 2184-3236
AU - Khan, M.
AU - Parker, G.
PY - 2019
SP - 403
EP - 411
DO - 10.5220/0008165104030411
PB - SciTePress