JOURNAL ARTICLE

Object Detection Technique for Small Unmanned Aerial Vehicle

Muhammad Faiz RamliAri LegowoSyariful Syafiq Shamsudin

Year: 2017 Journal:   IOP Conference Series Materials Science and Engineering Vol: 260 Pages: 012040-012040   Publisher: IOP Publishing

Abstract

Local natural product extracts has been gaining great focus from research and \ntherapeutic aspect. Similarly, the outcome of studies on one of nation’s renowned \nhoney Tualang (TH) (Koompassia excelsa) has profoundly anchored its board \naptitude in anti-inflammatory, anti-oxidant and anti-microbial properties. This \nresearch focuses on the study of the immunomodulatory properties of TH in \nBALB/c. TH was orally administered daily for 14 days to BALB/c male mice \n(5/group) in dose ranging from 0.5 g/kg, 1.5 g/kg and 3.0 g/kg namely Low group, \nMedium group and High group. Pre-treatment and post-treatment body weights were \nmeasured. Upon sacrificing, the spleen was weighed and then homogenized. The \nsplenocytes were stained with various surface markers antibodies namely \nCD3+/CD4+(T helper), CD3+/CD8+(T cytotoxic), CD14+ (macrophage) and CD19+ \n(B lymphocyte) and immune cell populations were obtained by using flow \ncytometer. On the other hand, proliferation assay of splenocytes were done by using \nCellTiter 96® AQueous One Solution Cell Proliferation Assay (MTS). Body weight \nin Control, Medium and High groups showed increment after the treatment but body \nweight of mice in Low group decreased upon completion of TH treatment. BALB/c \nmice treated with TH showed increased populations of CD3+/CD4+, CD3+/CD8+, \nCD14+ and CD19+ compared to control group. Proliferation analysis of splenocytes \nas well as spleen weight obtained from TH-treated mice also showed an increment. \nThe results revealed the immunostimulant potential of TH in mice by enhancing \nlymphocyte populations especially T helper (CD3+/CD4+), cytotoxic (CD3+/CD8+) \nand B (CD19+) cells.

Keywords:
Computer vision Artificial intelligence Obstacle Computer science Obstacle avoidance Payload (computing) Lidar Object detection Monocular vision Collision avoidance Monocular Detector Ranging Remote sensing Mobile robot Robot Pattern recognition (psychology) Geography Collision

Metrics

7
Cited By
1.85
FWCI (Field Weighted Citation Impact)
23
Refs
0.84
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
© 2026 ScienceGate Book Chapters — All rights reserved.