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Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles

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  • © 2018

Overview

  • Publication in the field of technical sciences
  • Includes supplementary material: sn.pub/extras

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Table of contents (6 chapters)

Keywords

About this book

Alexander Schaub examines how a reactive instinctive behavior, similar to instinctive reactions as incorporated by living beings, can be achieved for intelligent mobile robots to extend the classic reasoning approaches. He identifies possible applications for reactive approaches, as they enable a fast response time, increase robustness and have a high abstraction ability, even though reactive methods are not universally applicable. The chosen applications are obstacle avoidance and relative positioning – which can also be utilized for navigation – and a combination of both. The implementation of reactive instinctive behaviors for the identified tasks is then validated in simulation together with real world experiments.

Authors and Affiliations

  • Fürstenfeldbruck, Germany

    Alexander Schaub

About the author

Alexander Schaub joined the Robotics and Mechatronics Center of the German Aerospace Center (DLR) in 2009 and worked in the development of a robotic electric vehicle and researched in the field of vision-based control and reactive instinctive behaviors for autonomous vehicle. In 2017, he started an MBA at HEC Paris and will continue working in the field of autonomous driving afterwards.

Bibliographic Information

  • Book Title: Robust Perception from Optical Sensors for Reactive Behaviors in Autonomous Robotic Vehicles

  • Authors: Alexander Schaub

  • DOI: https://doi.org/10.1007/978-3-658-19087-3

  • Publisher: Springer Vieweg Wiesbaden

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer Fachmedien Wiesbaden GmbH 2018

  • Softcover ISBN: 978-3-658-19086-6Published: 27 July 2017

  • eBook ISBN: 978-3-658-19087-3Published: 18 July 2017

  • Edition Number: 1

  • Number of Pages: XV, 267

  • Number of Illustrations: 4 b/w illustrations, 123 illustrations in colour

  • Topics: Control, Robotics, Mechatronics, Computer Imaging, Vision, Pattern Recognition and Graphics

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