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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"

8 / 8 papers shown
Title
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning
Milan Ganai
Rohan Sinha
Christopher Agia
Daniel Morton
Marco Pavone
OffRL
LRM
AI4CE
30
0
0
15 May 2025
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
28
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
Boris Ivanovic
Marco Pavone
Somil Bansal
31
1
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
48
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
188
879
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
29
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
276
5,675
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
285
9,145
0
06 Jun 2015
1