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Template-based autonomous navigation in urban environments

Published: 21 March 2011 Publication History

Abstract

Autonomous navigation is a fundamental task in mobile robotics. In the last years, several approaches have been addressing the autonomous navigation in outdoor environments. Lately it has also been extended to robotic vehicles in urban environments. This paper focus in the road identification problem, which is an important capability to autonomous vehicle drive. Our approach is based on image processing, template matching classification, and finite state machines processing. The proposed system allows to train an image segmentation algorithm in order to identify navigable and non-navigable regions (inside/outside roads), generating as output the steering control for an Electric Autonomous Vehicle, that should stay following the road. Several experimental tests have been carried out under different environmental conditions to evaluate the proposed techniques.

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Cited By

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  • (2020)A Unified Convolutional Neural Network Framework for Intelligent Decision Making Related to Navigation2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC48092.2020.ICCMC-00063(335-339)Online publication date: Mar-2020
  • (2014)Investigation on the evolution of a robotic controller for autonomous vehicle navigationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2699159.269918827:6(3047-3058)Online publication date: 1-Nov-2014
  • (2012)Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networksProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245332(280-285)Online publication date: 26-Mar-2012
  • Show More Cited By

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Published In

cover image ACM Conferences
SAC '11: Proceedings of the 2011 ACM Symposium on Applied Computing
March 2011
1868 pages
ISBN:9781450301138
DOI:10.1145/1982185
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 March 2011

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Author Tags

  1. finite state machines
  2. robotic vehicles navigation
  3. template matching
  4. trapezoidal algorithm
  5. urban environments

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SAC'11
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SAC'11: The 2011 ACM Symposium on Applied Computing
March 21 - 24, 2011
TaiChung, Taiwan

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Overall Acceptance Rate 1,650 of 6,669 submissions, 25%

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Cited By

View all
  • (2020)A Unified Convolutional Neural Network Framework for Intelligent Decision Making Related to Navigation2020 Fourth International Conference on Computing Methodologies and Communication (ICCMC)10.1109/ICCMC48092.2020.ICCMC-00063(335-339)Online publication date: Mar-2020
  • (2014)Investigation on the evolution of a robotic controller for autonomous vehicle navigationJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.5555/2699159.269918827:6(3047-3058)Online publication date: 1-Nov-2014
  • (2012)Vision and GPS-based autonomous vehicle navigation using templates and artificial neural networksProceedings of the 27th Annual ACM Symposium on Applied Computing10.1145/2245276.2245332(280-285)Online publication date: 26-Mar-2012
  • (2012)Vision-Based Autonomous Topological Navigation in Outdoor EnvironmentsProceedings of the 2012 Brazilian Robotics Symposium and Latin American Robotics Symposium10.1109/SBR-LARS.2012.22(91-96)Online publication date: 16-Oct-2012
  • (2012)Intelligent Robotic Car for Autonomous NavigationProceedings of the 2012 Second Brazilian Conference on Critical Embedded Systems10.1109/CBSEC.2012.26(12-17)Online publication date: 20-May-2012
  • (2011)Template-based autonomous navigation and obstacle avoidance in urban environmentsACM SIGAPP Applied Computing Review10.1145/2107756.210776111:4(49-59)Online publication date: 1-Dec-2011
  • (2011)Vision-Based Autonomous Navigation Using Supervised Learning TechniquesEngineering Applications of Neural Networks10.1007/978-3-642-23957-1_2(11-20)Online publication date: 2011

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