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Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs
v1v2 (latest)

Towards Safe and Efficient Through-the-Canopy Autonomous Fruit Counting with UAVs

26 September 2024
Teaya Yang
Roman Ibrahimov
Mark W. Mueller
ArXiv (abs)PDFHTML

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
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
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
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
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
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
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