Global Navigation Satellite System/Inertial Navigation System-Based Autonomous Driving Control System for Forestry Forwarders

Logging operations comprise a repeated and tedious job in forestry operations because forestry forwarders must keep completing round-trip transportation on forest roads from tree-cutting sites to forest roads where their truck can be accessed. In this study, an autonomous driving system for tracked forwarders was developed using GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System). The mechanical control system of the forwarder was replaced with an electronic control system, and path-planning and -tracking algorithms were implemented. The electronic control system, operated by servo motors to operate the driving levers, exhibited a response that was 150 milliseconds faster in lever control compared to manual operation. To generate an autonomous driving path, a skilled operator drove the forwarder along a forest road, and the recorded path was post-processed using the Novatel Inertial Explorer 8.70 GNSS + INS software to minimize GNSS errors. The autonomous forwarder followed the generated path using the pure pursuit algorithm. Autonomous driving tests conducted along this path achieved a root mean square error (RMSE) within 0.4 m (range: 0.389–0.393). Driving errors were primarily attributed to GNSS positional inaccuracies, especially in environments with dense canopies and landslide prevention structures located higher than the GNSS antenna, obstructing satellite signals. These findings underscore the importance and feasibility of autonomous forwarders in diverse forest environments, providing a critical foundation for advancing autonomous forestry machinery. The proposed technologies are expected to significantly contribute to enhancing the productivity of forestry operations.

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Publication Details

Journal
Forests
Published
2025-04-08
DOI
https://doi.org/10.3390/f16040647
Citations
2
Primary Topic
Forest Biomass Utilization and Management
Type
article
Field-Weighted Citation Impact
1.73

Funders

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article

Global Navigation Satellite System/Inertial Navigation System-Based Autonomous Driving Control System for Forestry Forwarders

Hyeon-Seung Lee, Beom-Soo Shin, Hongrun Ju, Jae-Heun Oh et al.
2 citations
Forests
Forest Biomass Utilization and Management
1.73
article

Global Navigation Satellite System/Inertial Navigation System-Based Autonomous Driving Control System for Forestry Forwarders

Hyeon-Seung Lee, Beom-Soo Shin, Hongrun Ju, Jae-Heun Oh, Gyun-Hyung Kim, Ho-Seong Mun
article en
2 citations

Abstract

Logging operations comprise a repeated and tedious job in forestry operations because forestry forwarders must keep completing round-trip transportation on forest roads from tree-cutting sites to forest roads where their truck can be accessed. In this study, an autonomous driving system for tracked forwarders was developed using GNSS (Global Navigation Satellite System)/INS (Inertial Navigation System). The mechanical control system of the forwarder was replaced with an electronic control system, and path-planning and -tracking algorithms were implemented. The electronic control system, operated by servo motors to operate the driving levers, exhibited a response that was 150 milliseconds faster in lever control compared to manual operation. To generate an autonomous driving path, a skilled operator drove the forwarder along a forest road, and the recorded path was post-processed using the Novatel Inertial Explorer 8.70 GNSS + INS software to minimize GNSS errors. The autonomous forwarder followed the generated path using the pure pursuit algorithm. Autonomous driving tests conducted along this path achieved a root mean square error (RMSE) within 0.4 m (range: 0.389–0.393). Driving errors were primarily attributed to GNSS positional inaccuracies, especially in environments with dense canopies and landslide prevention structures located higher than the GNSS antenna, obstructing satellite signals. These findings underscore the importance and feasibility of autonomous forwarders in diverse forest environments, providing a critical foundation for advancing autonomous forestry machinery. The proposed technologies are expected to significantly contribute to enhancing the productivity of forestry operations.

ForestsVol. 16(4)
Kangwon National University (KR), Korea Forest Service (KR)
U.S. Forest Service, Korea Forest Service
Openalex Percentile: Top 19%
Forest Biomass Utilization and Management
1.73
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