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Evaluation of Runtime Monitoring for UAV Emergency Landing

Evaluation of Runtime Monitoring for UAV Emergency Landing

7 February 2022
Joris Guérin
Kevin Delmas
Jérémie Guiochet
ArXivPDFHTML

Papers citing "Evaluation of Runtime Monitoring for UAV Emergency Landing"

9 / 9 papers shown
Title
SoK: The Design Paradigm of Safe and Secure Defaults
Jukka Ruohonen
SILM
40
2
0
23 Dec 2024
Can we Defend Against the Unknown? An Empirical Study About Threshold
  Selection for Neural Network Monitoring
Can we Defend Against the Unknown? An Empirical Study About Threshold Selection for Neural Network Monitoring
Khoi Tran Dang
Kevin Delmas
Jérémie Guiochet
Joris Guérin
43
1
0
14 May 2024
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path
  Forward
Online Safety Analysis for LLMs: a Benchmark, an Assessment, and a Path Forward
Xuan Xie
Jiayang Song
Zhehua Zhou
Yuheng Huang
Da Song
Lei Ma
OffRL
42
6
0
12 Apr 2024
Verification for Object Detection -- IBP IoU
Verification for Object Detection -- IBP IoU
Noémie Cohen
Mélanie Ducoffe
Ryma Boumazouza
Christophe Gabreau
C. Pagetti
Xavier Pucel
Audrey Galametz
VLM
15
1
0
30 Jan 2024
Out-Of-Distribution Detection Is Not All You Need
Out-Of-Distribution Detection Is Not All You Need
Joris Guérin
Kevin Delmas
Raul Sena Ferreira
Jérémie Guiochet
OODD
27
32
0
29 Nov 2022
Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic
  Scenarios
Real-Time Heuristic Framework for Safe Landing of UAVs in Dynamic Scenarios
Jaskirat Singh
Neel Adwani
Harikumar Kandath
K. M. Krishna
16
1
0
11 Sep 2022
Unifying Evaluation of Machine Learning Safety Monitors
Unifying Evaluation of Machine Learning Safety Monitors
Joris Guérin
Raul Sena Ferreira
Kevin Delmas
Jérémie Guiochet
33
11
0
31 Aug 2022
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey
  of Emerging Trends
Run-Time Monitoring of Machine Learning for Robotic Perception: A Survey of Emerging Trends
Q. Rahman
Peter Corke
Feras Dayoub
OOD
27
51
0
05 Jan 2021
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
285
9,136
0
06 Jun 2015
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