A LIDAR-Based Tree Canopy Characterization under Simulated Uneven Road Condition: Advance in Tree Orchard Canopy Profile Measurement
المؤلفون المشاركون
Shen, Yue
Addis, Destaw
Liu, Hui
Hussain, Fida
المصدر
العدد
المجلد 2017، العدد 2017 (31 ديسمبر/كانون الأول 2017)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2017-12-27
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الملخص EN
In real outdoor canopy profile detection, the accuracy of a LIDAR scanner to measure canopy structure is affected by a potentially uneven road condition.
The level of error associated with attitude angles from undulations in the ground surface can be reduced by developing appropriate correction algorithm.
This paper proposes an offline attitude angle offset correction algorithm based on a 3D affine coordinate transformation.
The validity of the correction algorithm is verified by conducting an indoor experiment.
The experiment was conducted on an especially designed canopy profile measurement platform.
During the experiment, an artificial tree and a tree-shaped carved board were continuously scanned at constant laser scanner travel speed and detection distances under simulated bumpy road conditions.
Acquired LIDAR laser scanner raw data was processed offline by exceptionally developed MATLAB program.
The obtained results before and after correction method show that the single attitude angle offset correction method is able to correct the distorted data points in tree-shaped carved board profile measurement, with a relative error of 5%, while the compound attitude angle offset correction method is effective to reduce the error associated with compound attitude angle deviation from the ideal scanner pose, with relative error of 7%.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Shen, Yue& Addis, Destaw& Liu, Hui& Hussain, Fida. 2017. A LIDAR-Based Tree Canopy Characterization under Simulated Uneven Road Condition: Advance in Tree Orchard Canopy Profile Measurement. Journal of Sensors،Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1187492
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Shen, Yue…[et al.]. A LIDAR-Based Tree Canopy Characterization under Simulated Uneven Road Condition: Advance in Tree Orchard Canopy Profile Measurement. Journal of Sensors No. 2017 (2017), pp.1-13.
https://search.emarefa.net/detail/BIM-1187492
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Shen, Yue& Addis, Destaw& Liu, Hui& Hussain, Fida. A LIDAR-Based Tree Canopy Characterization under Simulated Uneven Road Condition: Advance in Tree Orchard Canopy Profile Measurement. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-13.
https://search.emarefa.net/detail/BIM-1187492
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1187492
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر