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Detecting and Mitigating System-Level Anomalies of Vision-Based
  Controllers

Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers

23 September 2023
Aryaman Gupta
Kaustav Chakraborty
Somil Bansal
ArXivPDFHTML

Papers citing "Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers"

7 / 7 papers shown
Title
Enhancing Safety and Robustness of Vision-Based Controllers via
  Reachability Analysis
Enhancing Safety and Robustness of Vision-Based Controllers via Reachability Analysis
Kaustav Chakraborty
Aryaman Gupta
Somil Bansal
18
2
0
29 Oct 2024
System-Level Safety Monitoring and Recovery for Perception Failures in
  Autonomous Vehicles
System-Level Safety Monitoring and Recovery for Perception Failures in Autonomous Vehicles
Kaustav Chakraborty
Zeyuan Feng
Sushant Veer
Apoorva Sharma
B. Ivanovic
Marco Pavone
Somil Bansal
29
0
0
26 Sep 2024
RADIUM: Predicting and Repairing End-to-End Robot Failures using
  Gradient-Accelerated Sampling
RADIUM: Predicting and Repairing End-to-End Robot Failures using Gradient-Accelerated Sampling
Charles Dawson
Anjali Parashar
Chuchu Fan
40
0
0
04 Apr 2024
Generalized Out-of-Distribution Detection: A Survey
Generalized Out-of-Distribution Detection: A Survey
Jingkang Yang
Kaiyang Zhou
Yixuan Li
Ziwei Liu
171
870
0
21 Oct 2021
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
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
5,652
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
9,109
0
06 Jun 2015
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