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An Informative Path Planning Framework for Active Learning in UAV-based
  Semantic Mapping

An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping

7 February 2023
Julius Ruckin
Federico Magistri
C. Stachniss
Marija Popović
ArXivPDFHTML

Papers citing "An Informative Path Planning Framework for Active Learning in UAV-based Semantic Mapping"

5 / 5 papers shown
Title
Air-Ground Collaborative Robots for Fire and Rescue Missions: Towards Mapping and Navigation Perspective
Air-Ground Collaborative Robots for Fire and Rescue Missions: Towards Mapping and Navigation Perspective
Ying Zhang
Haibao Yan
Danni Zhu
Jiankun Wang
Cui-Hua Zhang
Weili Ding
Xi Luo
C. Hua
M. Meng
AI4CE
46
1
0
30 Dec 2024
Mapping oil palm density at country scale: An active learning approach
Mapping oil palm density at country scale: An active learning approach
Andrés C. Rodríguez
Stefano Dáronco
Konrad Schindler
Jan Dirk Wegner
24
40
0
24 May 2021
A Review on Deep Learning in UAV Remote Sensing
A Review on Deep Learning in UAV Remote Sensing
L. Osco
J. M. Junior
A. P. Ramos
L. Jorge
S. Fatholahi
J. Silva
E. Matsubara
H. Pistori
W. Gonçalves
Jonathan Li
AI4Cl
32
334
0
22 Jan 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
247
9,042
0
06 Jun 2015
1