Version 1
: Received: 28 November 2023 / Approved: 29 November 2023 / Online: 29 November 2023 (10:52:54 CET)
How to cite:
Sviatov, K.; Rubtsov, I.; Filippov, A.; Romanov, A. Approach of Trajectory Generation Based on Waypoint Information for a Highly Automated Vehicle. Preprints2023, 2023111885. https://doi.org/10.20944/preprints202311.1885.v1
Sviatov, K.; Rubtsov, I.; Filippov, A.; Romanov, A. Approach of Trajectory Generation Based on Waypoint Information for a Highly Automated Vehicle. Preprints 2023, 2023111885. https://doi.org/10.20944/preprints202311.1885.v1
Sviatov, K.; Rubtsov, I.; Filippov, A.; Romanov, A. Approach of Trajectory Generation Based on Waypoint Information for a Highly Automated Vehicle. Preprints2023, 2023111885. https://doi.org/10.20944/preprints202311.1885.v1
APA Style
Sviatov, K., Rubtsov, I., Filippov, A., & Romanov, A. (2023). Approach of Trajectory Generation Based on Waypoint Information for a Highly Automated Vehicle. Preprints. https://doi.org/10.20944/preprints202311.1885.v1
Chicago/Turabian Style
Sviatov, K., Aleksey Filippov and Anton Romanov. 2023 "Approach of Trajectory Generation Based on Waypoint Information for a Highly Automated Vehicle" Preprints. https://doi.org/10.20944/preprints202311.1885.v1
Abstract
The development and use of highly automated vehicles (HAV) in agriculture is a highly important task because of the lack of machine drivers and unsatisfactory level of their qualifications, reducing the impact of harmful factors on employees of agricultural enterprises. HAVs allow to avoid these problems: increase productivity and the efficiency of seasonal use of equipment, and reduce the impact of harmful factors on people. Modern HAVs in agriculture are based on the following methods: parallel driving according to geo coordinates without automatic turning and without obstacles tracking, and on technical vision without the use of a geographic information system (for example Cognitive AgroPilot) and a digital field map, which makes it impossible to generate the optimal path around the field.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
