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Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs
26 September 2024
Teaya Yang
Roman Ibrahimov
Mark W. Mueller
Re-assign community
ArXiv (abs)
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Papers citing
"Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs"
6 / 6 papers shown
Title
Deep-Learning-based Counting Methods, Datasets, and Applications in Agriculture -- A Review
Guy Farjon
Huijun Liu
Y. Edan
50
47
0
05 Mar 2023
Fruit Mapping with Shape Completion for Autonomous Crop Monitoring
S. Marangoz
Tobias Zaenker
Rohit Menon
Maren Bennewitz
61
20
0
29 Mar 2022
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Yifu Zhang
Pei Sun
Yi Jiang
Dongdong Yu
Fucheng Weng
Zehuan Yuan
Ping Luo
Wenyu Liu
Xinggang Wang
VOT
199
1,406
0
13 Oct 2021
Rectangular Pyramid Partitioning using Integrated Depth Sensors (RAPPIDS): A Fast Planner for Multicopter Navigation
Nathan Bucki
Junseok Lee
M. Mueller
57
39
0
02 Mar 2020
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
Xuantong Liu
Steven W. Chen
Chenhao Liu
Shreyas S. Shivakumar
Jnaneshwar Das
Camillo J Taylor
J. Underwood
Vijay Kumar
91
74
0
04 Nov 2018
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
776
37,178
0
08 Jun 2015
1