Dim Line Tracking Using Deep Learning for Autonomous Line Following Robot-Reference-Cited by-同舟云学术

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Dim Line Tracking Using Deep Learning for Autonomous Line Following Robot

Published:2017 Issue: Volume: Page:414-423
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
Short-container-title:

Author:

Matczak Grzegorz,Mazurek Przemysław

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-57261-1_41

Reference18 articles.

1. Astrand, B., Baerveldt, A.: A vision-based row-following system for agricultural field machinery. Mechatronics 15(2), 251–269 (2005)

2. Blackman, S., Popoli, R.: Design and Analysis of Modern Tracking Systems. Artech House, Norwood (1999)

3. Deans, S.R.: The Radon Transform and Some of Its Applications. Wiley, New York (1983)

4. Golightly, I., Jones, D.: Visual control of an unmanned aerial vehicle for power line inspection. In: 12th International Conference on Advanced Robotics, ICAR 2005, pp. 288–295, July 2005

5. Haykin, S., Moher, M.: Communication Systems. Wiley, Chichester (2009)

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A self‐adaptive SAC‐PID control approach based on reinforcement learning for mobile robots;International Journal of Robust and Nonlinear Control;2021-07-09

2. Development of an AlphaBot2 Simulator for RPi Camera and Infrared Sensors;Advances in Intelligent Systems and Computing;2019-11-20

3. Shallow Convolutional Neural Network and Viterbi Algorithm for Dim Line Tracking;Computer Vision and Graphics;2018

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