التفاصيل البيبلوغرافية
العنوان: |
Experimental results for the global/local sensor fusion algorithm using numerical P systems and ROS |
المؤلفون: |
Florea, A |
المساهمون: |
Buiu, Catalin, Andrei Florea |
المصدر: |
10.17632/2dhtz6y22p.1 ; 10.17632/2dhtz6y22p ; oai:services.nod.dans.knaw.nl:Products/dans:oai:easy.dans.knaw.nl:easy-dataset:113604 ; oai:oai.datacite.org:17505056 ; oai:oai.datacite.org:17505057 ; oai:easy.dans.knaw.nl:easy-dataset:113604 ; 10|openaire____::9e3be59865b2c1c335d32dae2fe7b254 ; 10|re3data_____::db814dc656a911b556dba42a331cebe9 ; 10|eurocrisdris::fe4903425d9040f680d8610d9079ea14 ; 10|re3data_____::84e123776089ce3c7a33db98d9cd15a8 |
بيانات النشر: |
Mendeley |
سنة النشر: |
2018 |
مصطلحات موضوعية: |
Robotics, Natural Computing, Interdisciplinary sciences, envir, info |
الوصف: |
This record presents experimental data that was recorded from ROS and processed using the statistical language R. The objective of the experiment was for a nano-quadcopter to detect the height of a previously unknown waypoint (Apriltag) and afterwards maintain a height as close as possible to that tag. Due to the lag of the fiducial tag detection algorithm, this algorithm uses the tag detection only at the beginning, for determining a waypoint and afterwards uses the local height sensor available onboard the quadcopter. The PDF files all contain plots that are produced by the attached R script (stats.r) by processing the three CSV files included in this record. |
نوع الوثيقة: |
dataset |
اللغة: |
unknown |
Relation: |
http://dx.doi.org/10.17632/2dhtz6y22p.1; https://dx.doi.org/10.17632/2dhtz6y22p.1; http://dx.doi.org/10.17632/2dhtz6y22p; https://dx.doi.org/10.17632/2dhtz6y22p |
DOI: |
10.17632/2dhtz6y22p.1 |
DOI: |
10.17632/2dhtz6y22p |
الاتاحة: |
https://doi.org/10.17632/2dhtz6y22p.1 https://doi.org/10.17632/2dhtz6y22p |
Rights: |
lic_creative-commons |
رقم الانضمام: |
edsbas.E2F7B193 |
قاعدة البيانات: |
BASE |