Accuracy assessment of a GPS-based auto-guidance system in an agricultural vehicle using computational vision methods
by Rigoberto Castro Castro; Ricardo Yassushi Inamasu; Maira Martins Da Silva
International Journal of Heavy Vehicle Systems (IJHVS), Vol. 29, No. 1, 2022

Abstract: A real improvement in efficiency and productivity has been successfully achieved in precision agriculture using auto-guidance systems. The global positioning system (GPS) real-time kinematic (RTK) system, which allows for centimetre accuracy, is one alternative for implementing such systems. However, geographic positioning errors, vehicle dynamics, agricultural devices, and field environment conditions may influence the performance of GPS-based autonomous agricultural vehicles. Measuring the vehicle position using cameras, lasers, odometers, and ultrasonic sensors can aid this influence assessment. This work aims to propose a methodology to assess the accuracy of auto-guidance systems under actual field conditions using computer vision methods. The pinhole camera method was used to map vehicle location by processing a checkerboard image in the field. The proposal is validated by performing several field tests. The use of computer vision methods can be an accurate alternative to evaluate auto-guidance systems if devices, procedures, and parameters are appropriately selected and calibrated.

Online publication date: Mon, 06-Jun-2022

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