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References [1] BA˚strandandABaerveldt. Avisionbased row-followingsystemforagriculturalfieldmachin- ery. Mechatronics, 15(2):251–269,2005. [2] T Bak and H Jakobsen. Agricultural robotic platform with four wheel steering for weed detec- tion. Biosystems Engineering, 87(2):125–136,2004. [3] WBangert,AKielhorn,FRahe,AAlbert,PBiber,SGrzonka,SHaug,AMichaels,DMentrup, M Ha¨nsel, et al. Field-robot-based agriculture:“remotefarming. 1” and “bonirob-apps”. VDI- Berichte, (2193):439–446, 2013. [4] G Dudek and M Jenkin. Computational principles of mobile robotics. Cambridge university press, 2010. [5] JGomez-Gil,RRuiz-Gonzalez,SAlonso-Garcia,andFJGomez-Gil.Akalmanfilterimplemen- tationforprecisionimprovementinlow-costgpspositioningoftractors. Sensors,13(11):15307– 15323,2013. [6] G Halmetschlager, J Prankl, and M Vincze. Increasing the precision of generic crop row de- tection and tracking and row end detection. In G. Kootstra, Y Edan, E van Henten, and M Bergerman (Eds.), Proceedings of the IROS Workshop on Agri-Food Robotics. Hamburg, Octo- ber2,2015. [7] GHalmetschlager, JPrankl,andMVincze. Probabilisticnear infraredanddepthbasedcropline identification. In IAS-13, Workshop on Recent Advances in Agricultural Robotics, Workshop Proceedings of IAS-13Conferenceon, pages474–482,2014. [8] Guo-Quan Jiang, Cui-Jun Zhao, and Yong-Sheng Si. A machine vision based crop rows de- tection for agricultural robots. In Wavelet Analysis and Pattern Recognition (ICWAPR), 2010 InternationalConferenceon, pages114–118,2010. [9] M Kise, Q Zhang, and F Rovira Ma´s. A stereovision-based crop row detection method for tractor-automatedguidance. BiosystemsEngineering, 90(4):357–367,2005. [10] R Lenain, B Thuilot, C Cariou, and P Martinet. High accuracy path tracking for vehicles in presence of sliding: Application to farm vehicle automatic guidance for agricultural tasks. Au- tonomousrobots, 21(1):79–97, 2006. [11] Ming Li, Kenji Imou, Katsuhiro Wakabayashi, and Shinya Yokoyama. Review of research on agriculturalvehicleautonomousguidance. InternationalJournalofAgriculturalandBiological Engineering, 2(3):1–16, 2009. [12] JRomeo,GPajares,MMontalvo, JMGuerrero,MGuijarro,andARibeiro. Croprowdetection in maize fields inspired on the human visual perception. The Scientific World Journal, 2012, 2012. [13] D.C. Slaughter, D.K. Giles, and D. Downey. Autonomous robotic weed control systems: A review. Computers andElectronics in Agriculture, 61(1):63–78,2008. [14] UWeissandPBiber. Plantdetectionandmappingforagricultural robotsusinga3dlidarsensor. RoboticsandAutonomous Systems, 59(5):265–273,2011. Special IssueECMR2009. 124
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Proceedings OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Title
Proceedings
Subtitle
OAGM & ARW Joint Workshop 2016 on "Computer Vision and Robotics“
Authors
Peter M. Roth
Kurt Niel
Publisher
Verlag der Technischen Universität Graz
Location
Wels
Date
2017
Language
English
License
CC BY 4.0
ISBN
978-3-85125-527-0
Size
21.0 x 29.7 cm
Pages
248
Keywords
Tagungsband
Categories
International
Tagungsbände

Table of contents

  1. Learning / Recognition 24
  2. Signal & Image Processing / Filters 43
  3. Geometry / Sensor Fusion 45
  4. Tracking / Detection 85
  5. Vision for Robotics I 95
  6. Vision for Robotics II 127
  7. Poster OAGM & ARW 167
  8. Task Planning 191
  9. Robotic Arm 207
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