Path tracking in forest terrain by an autonomous forwarder

Abstract Autonomous navigation in forest terrain, where operation paths are rarely straight or flat and obstacles are common, is challenging. This paper evaluates a system designed to autonomously follow previously demonstrated paths in a forest environment without loading/unloading timber, a pre-step in the development of fully autonomous forwarders. The system consisted of a forwarder equipped with a high-precision global positioning system to measure the vehicle's heading and position. A gyro was used to compensate for the influence of the vehicle's roll and pitch. On an ordinary clear-cut forest area with numerous stumps, the vehicle was able to follow two different tracks, three times each at a speed of 1 m s−1, with a mean path tracking error of 6 and 7 cm, respectively. The error never exceeded 35 cm, and in 90% of the observations it was less than 14 and 15 cm, respectively. This accuracy is well within the necessary tolerance for forestry operations. In fact, a human operator would probably have a hard time following the track more accurately. Hence, the developed systems function satisfactorily when using previously demonstrated paths. However, further research on planning new paths in unknown unstructured terrain and on loading/unloading is required before timber transports can be fully automated.

[1]  Dae Hyun Kim,et al.  Image-based real-time displacement measurement system , 2008 .

[2]  Thomas Hellström,et al.  Autonomous Forest Vehicles: Historic, envisioned, and state-of-the-art , 2009 .

[3]  Tomas Nordfjell,et al.  Comparison of human and computer-based selective cleaning , 2005 .

[4]  Thomas Hellström,et al.  Autonomous Forest Machines: Techniques and Algorithms for Unmanned Vehicles , 2008 .

[5]  R. C. Coulter,et al.  Implementation of the Pure Pursuit Path Tracking Algorithm , 1992 .

[6]  Börje Rehn,et al.  Variation in exposure to whole-body vibration for operators of forwarder vehicles - aspects on measurement strategies and prevention , 2005 .

[7]  Matthew J. Barton,et al.  Controller Development and Implementation for Path Planning and Following in an Autonomous Urban Vehicle , 2001 .

[8]  E. Næsset,et al.  Contributions of differential GPS and GLONASS observations to point accuracy under forest canopies , 2000 .

[9]  Yoshisada Nagasaka,et al.  An autonomous rice transplanter guided by global positioning system and inertial measurement unit , 2009, J. Field Robotics.

[10]  Thomas Hellström,et al.  Development of an Autonomous Forest Machine for Path Tracking , 2005, FSR.

[11]  Gustavo Belforte,et al.  Robot Design and Testing for Greenhouse Applications , 2006 .

[12]  J. Squires,et al.  Effect of forest canopy on GPS-based movement data , 2005 .

[13]  Bruce Talbot,et al.  Fuel Consumption In Forwarders , 2003 .

[14]  Albert Stoll,et al.  Guidance of a Forage Harvester with GPS , 2000, Precision Agriculture.

[15]  M. Hossein Abbaspour Fard,et al.  Automatic off-road vehicle steering system with a surface , 2009 .

[16]  S. Fountas,et al.  Agricultural robots—system analysis and economic feasibility , 2006, Precision Agriculture.

[17]  Thomas Hellström,et al.  Real-time path planning using a simulator-in-the-loop , 2009 .

[18]  Ian A. Andrews,et al.  Broadaxe to Flying Shear: The Mechanization of Forest Harvesting East of the Rockies , 1999 .

[19]  Zhenghe Song,et al.  Path tracking control of autonomous agricultural mobile robots , 2007 .

[20]  Philippe Martinet,et al.  Adaptive and Predictive Path Tracking Control for Off-road Mobile Robots , 2007, Eur. J. Control.

[21]  Dean B. Edwards,et al.  AN AUTONOMOUS FOREST ROBOT THAT USES A HIERARCHICAL, FUZZY LOGIC CONTROLLER , 2005 .

[22]  Hans W. Griepentrog,et al.  The development and assessment of the accuracy of an autonomous GPS-based system for intra-row mechanical weed control in row crops , 2008 .

[23]  Thomas Hellström,et al.  Autonomous forest vehicles – envisioned and state of the art , 2008 .

[24]  Yilin Zhao,et al.  Vehicle Location And Navigation Systems , 1997 .

[25]  Qin Zhang,et al.  A Stereovision-based Crop Row Detection Method for Tractor-automated Guidance , 2005 .

[26]  Thomas Hellström,et al.  A Java-based middleware for control and sensing in mobile robotics , 2008 .

[27]  H. T. Søgaard,et al.  Application Accuracy of a Machine Vision-controlled Robotic Micro-dosing System , 2007 .

[28]  Bengt Pontén,et al.  New ergonomic problems in mechanized logging operations , 1990 .

[29]  Mikael Rönnqvist,et al.  Optimization based planning tools for routing of forwarders at harvest areas , 2007 .

[30]  Christophe Cariou,et al.  Automatic guidance of a four-wheel-steering mobile robot for accurate field operations , 2009 .

[31]  N. D. Tillett,et al.  Mechanical within-row weed control for transplanted crops using computer vision , 2008 .

[32]  Yoshisada Nagasaka,et al.  An autonomous rice transplanter guided by global positioning system and inertial measurement unit , 2009 .

[33]  Hannu Mäkelä,et al.  Outdoor navigation of mobile robots , 2001 .

[34]  Thomas Hellström,et al.  Follow the Past: a path-tracking algorithm for autonomous vehicles , 2006 .

[35]  Michael Happold,et al.  The Demeter System for Automated Harvesting , 2002, Auton. Robots.