Comparison of methods of obtaining visual data in the shape of obstacles in wastelands and forest areas for the purpose of automatic control of the stability of self-propelled machines

M. Szychta; S. Szymczyk; Ł. Gierz; K. Przybył; K. Koszela; A. Duda

doi:10.1117/12.2602016

30 June 2021 Comparison of methods of obtaining visual data in the shape of obstacles in wastelands and forest areas for the purpose of automatic control of the stability of self-propelled machines

M. Szychta, S. Szymczyk, Ł. Gierz, K. Przybył, K. Koszela, A. Duda

Author Affiliations +

Proceedings Volume 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021); 118781L (2021) https://doi.org/10.1117/12.2602016
Event: Thirteenth International Conference on Digital Image Processing, 2021, Singapore, Singapore

Abstract

Comparative research was carried out on three methods of acquiring visual data on the shape of obstacles in wastelands and forest areas for automatic control of the stability of self-propelled machines. The tests were carried out for the following sensors: ultrasonic, 3D IFM O3M251 sensor, and Intel RealSense D455 sensor. The sensors were mounted on a common beam and positioned inline above the obstacles. Four cylindrical objects of various structures and sizes, placed on a driven belt conveyor, were used as recognition obstacles. Tests were carried out at two operating speeds. As a result of the research, obstacle heights were identified concerning relation to their movement under the sensors on the conveyor belt. The obtained results allowed for the assessment of the suitability of each of the methods in the context of their use as a substrate monitoring system for the stabilization systems of agricultural and forest self-propelled machines.

Citation Download Citation

M. Szychta, S. Szymczyk, Ł. Gierz, K. Przybył, K. Koszela, and A. Duda "Comparison of methods of obtaining visual data in the shape of obstacles in wastelands and forest areas for the purpose of automatic control of the stability of self-propelled machines", Proc. SPIE 11878, Thirteenth International Conference on Digital Image Processing (ICDIP 2021), 118781L (30 June 2021); https://doi.org/10.1117/12.2602016

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available