Automated system of information support for the engineering of logging and forestry on the base on an unmanned platform

Sirotov, A.V.; Usachev, M. S.; Tesovsky, A. Yu.; Karchin, F. A.; Lapin, Ari

doi:10.1063/1.5133240

Cited by 2 publications

(1 citation statement)

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“…When forest machines have acquired the ability to detect, identify, and locate objects in the forest environment, encountered terrain with classified and marked objects can allow exploration into new advanced human-machine interaction methods, such as the autonomous establishment of local maps based on detected objects as overlaid landmarks, thus having autonomous localization and navigation in the region, complete unmanned logging of trees with pose estimation and collection of logs, etc. Similar perspectives have also been proposed by some other researchers [35][36][37][38].…”

Section: Discussionsupporting

confidence: 75%

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Lideskog

2021

Forests

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Research highlights: An automatic localization system for ground obstacles on harvested forest land based on existing mature hardware and software architecture has been successfully implemented. In the tested area, 98% of objects were successfully detected and could on average be positioned within 0.33 m from their true position in the full range 1–10 m from the camera sensor. Background and objectives: Forestry operations in forest environments are full of challenges; detection and localization of objects in complex forest terrains often require a lot of patience and energy from operators. Successful automatic real-time detection and localization of terrain objects not only can reduce the difficulty for operators but are essential for the automation of harvesting and logging tasks. We intend to implement a system prototype that can automatically locate ground obstacles on harvested forest land based on accessible hardware and common software infrastructure. Materials and Methods: An automatic object detection and localization system based on stereo camera sensing is described and evaluated in this paper. This demonstrated system detects and locates objects of interest automatically utilizing the YOLO (You Only Look Once) object detection algorithm and derivation of object positions in 3D space. System performance is evaluated by comparing the automatic detection results of the tests to manual labeling and positioning results. Results: Results show high reliability of the system for automatic detection and location of stumps and large stones and shows good potential for practical application. Overall, object detection on test tracks was 98% successful, and positional location errors were on average 0.33 m in the full range from 1–10 m from the camera sensor. Conclusions: The results indicate that object detection and localization can be used for better operator assessment of surroundings, as well as input to control machines and equipment for object avoidance or targeting.

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Section: Discussionsupporting

confidence: 75%

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Lideskog

2021

Forests

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Post-production lifecycle phases of the fifth technological paradigm based heavy equipment vehicles

Ignatov

Sirotov

Tarlakov

et al. 2020

IOP Conf. Ser.: Mater. Sci. Eng.

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According to the current data Russian Federation is using the considerable amount of outdated heavy equipment vehicles of the third and forth technological paradigm. Some of these heavy equipment vehicles are being used for more than ten years already. At the same time the developed countries have successfully implemented the fifth technological paradigm and are currently advancing towards the sixth technological paradigm. The government of Russian Federation made a decision to improve the capabilities of the heavy equipment vehicles with the benefits of the fifth technological paradigm. This approach requires manufacturers to implement new technologies in product life management including update to the system of technical support to incorporate international standards.

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Automated system of information support for the engineering of logging and forestry on the base on an unmanned platform

Cited by 2 publications

References 9 publications

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Post-production lifecycle phases of the fifth technological paradigm based heavy equipment vehicles

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