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Intelligent Autonomous Systems 13

Proceedings of the 13th International Conference IAS-13

  • Conference proceedings
  • © 2016

Overview

Editors:
  1. Emanuele Menegatti

    1. Information Engineering, University of Padua, Padua, Italy

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  2. Nathan Michael

    1. Robotics Institute, Carnegie Mellon University, Pittsburgh, USA

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  3. Karsten Berns

    1. Fachbereich Informatik, Technische Universität Kaiserslautern Arbeitsgruppe Robotersysteme, Kaiserslautern, Germany

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  4. Hiroaki Yamaguchi

    1. Integrated Information Technology, Aoyama Gakuin University, Tokyo, Japan

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  • Presents the latest research and innovations in intelligent autonomous systems
  • Addresses the emerging role of autonomous robots in industrial production
  • Offers a rich source of ideas for new research directions
  • Written by leading experts from across the world
  • Includes supplementary material: sn.pub/extras

Part of the book series: Advances in Intelligent Systems and Computing (AISC, volume 302)

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Table of contents (122 papers)

  1. Path Planning and Localization

    1. Front Matter

      Pages 245-245
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    2. On-Road Trajectory Planning for General Autonomous Driving with Enhanced Tunability

      • Tianyu Gu, John M. Dolan, Jin-Woo Lee
      Pages 247-261

    3. Curve-Graph Odometry: Removing the Orientation in Loop Closure Optimisation Problems

      • Daniel Gutiérrez-Gómez, J. J. Guerrero
      Pages 263-275

    4. Toward Localizing both Static and Non-static RFID Tags with a Mobile Robot

      • Ran Liu, Andreas Zell
      Pages 277-289

    5. RRS: Rapidly-Exploring Random Snakes a New Method for Mobile Robot Path Planning

      • K. Baizid, R. Chellali, R. Luza, B. Vitezslav, F. Arrichiello
      Pages 291-305

    6. Layered Mission and Path Planning for MAV Navigation with Partial Environment Knowledge

      • Matthias Nieuwenhuisen, Sven Behnke
      Pages 307-319

    7. Multi-Vehicle Adaptive Planning with Online Estimated Cost Due to Disturbance Forces

      • Vishnu R. Desaraju, Lantao Liu, Nathan Michael
      Pages 321-334

    8. A Generalized Extended Kalman Filter Implementation for the Robot Operating System

      • Thomas Moore, Daniel Stouch
      Pages 335-348

  2. Theory and Methods for SLAM

    1. Front Matter

      Pages 349-349
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    2. Stereo Graph-SLAM for Autonomous Underwater Vehicles

      • Pep Lluis Negre Carrasco, Francisco Bonin-Font, Gabriel Oliver Codina
      Pages 351-360

    3. Robust Onboard Visual SLAM for Autonomous MAVs

      • Shaowu Yang, Sebastian A. Scherer, Andreas Zell
      Pages 361-373

    4. Exploiting Structural Properties of Buildings Towards General Semantic Mapping Systems

      • Matteo Luperto, Francesco Amigoni
      Pages 375-387

    5. A Kinect-Based Front-End for Graph-SLAM Using Plane Matching in Planar Indoor Environments

      • Zehui Yuan, Stefano Rosa, Ludovico Russo, Basilio Bona
      Pages 389-400

    6. Landmark Rating and Selection for SLAM in Dynamic Environments

      • Siegfried Hochdorfer, Heiko Neumann, Christian Schlegel
      Pages 401-414

    7. Fast Active SLAM for Accurate and Complete Coverage Mapping of Unknown Environments

      • Kruno Lenac, Andrej Kitanov, Ivan Maurović, Marija Dakulović, Ivan Petrović
      Pages 415-428

    8. Local Multi-resolution Surfel Grids for MAV Motion Estimation and 3D Mapping

      • David Droeschel, Jörg Stückler, Sven Behnke
      Pages 429-442

  3. Offroad Vehicles

    1. Front Matter

      Pages 443-443
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    2. Voronoi-Based Heuristic for Nonholonomic Search-Based Path Planning

      • Qi Wang, Markus Wulfmeier, Bernardo Wagner
      Pages 445-458

    3. 3D Pose Detection for Articulated Vehicles

      • Christian Fuchs, Dieter Zöbel, Dietrich Paulus
      Pages 459-472

    4. Construction of 3D Environment Models by Fusing Ground and Aerial Lidar Point Cloud Data

      • Marco Langerwisch, Marc Steven Krämer, Klaus-Dieter Kuhnert, Bernardo Wagner
      Pages 473-485
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Keywords

About this book

This book describes the latest research accomplishments, innovations, and visions in the field of robotics as presented at the 13th International Conference on Intelligent Autonomous Systems (IAS), held in Padua in July 2014, by leading researchers, engineers, and practitioners from across the world. The contents amply confirm that robots, machines, and systems are rapidly achieving intelligence and autonomy, mastering more and more capabilities such as mobility and manipulation, sensing and perception, reasoning, and decision making. A wide range of research results and applications are covered, and particular attention is paid to the emerging role of autonomous robots and intelligent systems in industrial production, which reflects their maturity and robustness. The contributions have been selected through a rigorous peer-review process and contain many exciting and visionary ideas that will further galvanize the research community, spurring novel research directions. The series of biennial IAS conferences commenced in 1986 and represents a premiere event in robotics.

Editors and Affiliations

  • Information Engineering, University of Padua, Padua, Italy

    Emanuele Menegatti

  • Robotics Institute, Carnegie Mellon University, Pittsburgh, USA

    Nathan Michael

  • Fachbereich Informatik, Technische Universität Kaiserslautern Arbeitsgruppe Robotersysteme, Kaiserslautern, Germany

    Karsten Berns

  • Integrated Information Technology, Aoyama Gakuin University, Tokyo, Japan

    Hiroaki Yamaguchi

Bibliographic Information

  • Book Title: Intelligent Autonomous Systems 13

  • Book Subtitle: Proceedings of the 13th International Conference IAS-13

  • Editors: Emanuele Menegatti, Nathan Michael, Karsten Berns, Hiroaki Yamaguchi

  • Series Title: Advances in Intelligent Systems and Computing

  • DOI: https://doi.org/10.1007/978-3-319-08338-4

  • Publisher: Springer Cham

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer International Publishing Switzerland 2016

  • Softcover ISBN: 978-3-319-08337-7Published: 05 October 2015

  • eBook ISBN: 978-3-319-08338-4Published: 03 September 2015

  • Series ISSN: 2194-5357

  • Series E-ISSN: 2194-5365

  • Edition Number: 1

  • Number of Pages: XXXV, 1719

  • Number of Illustrations: 850 b/w illustrations

  • Topics: Computational Intelligence, Artificial Intelligence, Image Processing and Computer Vision

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