Autonomous Tractor Navigation in Orchard - Diagnosis and Supervision for Enhanced Availability

Abstract Autonomous vehicles require a very high degree of availability and safety to become accepted by authorities and the public. Diagnosis and supervision are necessary means to achieve this. This paper investigates ways of using laser-scanner data to do localisation, and as a source of independent supervision, using expectation maximisation of laser-scanner output against uncertain map features. Analysis of system behaviours and their structure shows which redundant information is available to construct a supervisor. Tests on real life orchard data demonstrates the feasibility of the new approach.

[1]  Lindsay Kleeman.  Advanced sonar and odometry error modeling for simultaneous localisation and map building , 2003, Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453).

[2]  Richard A. Brown,et al.  Introduction to random signals and applied kalman filtering (3rd ed , 2012 .

[3]  Michel Kinnaert,et al.  Diagnosis and Fault-Tolerant Control , 2004, IEEE Transactions on Automatic Control.

[4]  Sauro Longhi,et al.  Model-Based Sensor Fault Detection and Isolation System for Unmanned Ground Vehicles: Theoretical Aspects (part I) , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[5]  Søren Hansen,et al.  Laser based navigation in orchard , 2008 .

[6]  Arto Visala,et al.  Simultaneous Localization and Mapping for Forest Harvesters , 2007, Proceedings 2007 IEEE International Conference on Robotics and Automation.

[7]  S. Taraglio,et al.  Visual and laser sensory data fusion for outdoor robot localisation and navigation , 2005, ICAR '05. Proceedings., 12th International Conference on Advanced Robotics, 2005..

[8]  Mogens Blanke,et al.  Natural Environment Modeling & Fault-Diagnosis for Automated Agricultural Vehicle , 2008 .

[9]  Kazunobu Ishii,et al.  Development of an Autonomous Navigation System using a Two-dimensional Laser Scanner in an Orchard Application , 2007 .