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DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from
  Inconsistent Behavior
v1v2 (latest)

DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior

18 November 2021
Manzoor Hussain
Nazakat Ali
Jang-Eui Hong
    AAML
ArXiv (abs)PDFHTML

Papers citing "DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior"

4 / 4 papers shown
Title
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Predicting Safety Misbehaviours in Autonomous Driving Systems using Uncertainty Quantification
Ruben Grewal
Paolo Tonella
Andrea Stocco
131
13
0
29 Apr 2024
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning
  Agents
SMARLA: A Safety Monitoring Approach for Deep Reinforcement Learning Agents
Amirhossein Zolfagharian
Manel Abdellatif
Lionel C. Briand
S. Ramesh
107
5
0
03 Aug 2023
CheapET-3: Cost-Efficient Use of Remote DNN Models
CheapET-3: Cost-Efficient Use of Remote DNN Models
Michael Weiss
60
1
0
24 Aug 2022
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN
  Supervision Testing
Generating and Detecting True Ambiguity: A Forgotten Danger in DNN Supervision Testing
Michael Weiss
A. Gómez
Paolo Tonella
AAML
62
6
0
21 Jul 2022
1