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Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study

Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study

6 February 2023
C. Păsăreanu
Ravi Mangal
D. Gopinath
Sinem Getir Yaman
Calum Imrie
R. Calinescu
Huafeng Yu
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Papers citing "Closed-loop Analysis of Vision-based Autonomous Systems: A Case Study"

19 / 19 papers shown
Title
Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
Scenario-based Compositional Verification of Autonomous Systems with Neural Perception
Christopher Watson
Rajeev Alur
Divya Gopinath
Ravi Mangal
C. Păsăreanu
53
0
0
29 Apr 2025
Four Principles for Physically Interpretable World Models
Jordan Peper
Zhenjiang Mao
Yuang Geng
Siyuan Pan
Ivan Ruchkin
105
1
0
04 Mar 2025
Online Controller Synthesis for Robot Collision Avoidance: A Case Study
Yuheng Fan
Wang Lin
38
0
0
08 Feb 2025
Using Formal Models, Safety Shields and Certified Control to Validate
  AI-Based Train Systems
Using Formal Models, Safety Shields and Certified Control to Validate AI-Based Train Systems
Jan Gruteser
Jan Roßbach
Fabian Vu
Michael Leuschel
62
0
0
21 Nov 2024
Pre-Trained Vision Models as Perception Backbones for Safety Filters in
  Autonomous Driving
Pre-Trained Vision Models as Perception Backbones for Safety Filters in Autonomous Driving
Yuxuan Yang
Hussein Sibai
44
2
0
29 Oct 2024
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous
  Operations
AssistTaxi: A Comprehensive Dataset for Taxiway Analysis and Autonomous Operations
Parth Ganeriwala
S. Bhattacharyya
Sean Gunther
Brian Kish
Mohammed Abdul Hafeez Khan
Ankur Dhadoti
Natasha A. Neogi
21
1
0
10 Sep 2024
System Safety Monitoring of Learned Components Using Temporal Metric
  Forecasting
System Safety Monitoring of Learned Components Using Temporal Metric Forecasting
Sepehr Sharifi
Andrea Stocco
Lionel C. Briand
AI4TS
40
1
0
21 May 2024
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems:
  Developments and Challenges
Formal Synthesis of Controllers for Safety-Critical Autonomous Systems: Developments and Challenges
Xiang Yin
Bingzhao Gao
Xiao Yu
24
18
0
20 Feb 2024
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Marabou 2.0: A Versatile Formal Analyzer of Neural Networks
Haoze Wu
Omri Isac
Aleksandar Zeljić
Teruhiro Tagomori
M. Daggitt
...
Min Wu
Min Zhang
Ekaterina Komendantskaya
Guy Katz
Clark W. Barrett
31
30
0
25 Jan 2024
Vehicle: Bridging the Embedding Gap in the Verification of
  Neuro-Symbolic Programs
Vehicle: Bridging the Embedding Gap in the Verification of Neuro-Symbolic Programs
M. Daggitt
Wen Kokke
R. Atkey
Natalia Slusarz
Luca Arnaboldi
Ekaterina Komendantskaya
NAI
26
10
0
12 Jan 2024
Automatic Generation of Scenarios for System-level Simulation-based
  Verification of Autonomous Driving Systems
Automatic Generation of Scenarios for System-level Simulation-based Verification of Autonomous Driving Systems
Srajan Goyal
A. Griggio
Jacob Kimblad
S. Tonetta
28
4
0
16 Nov 2023
Refining Perception Contracts: Case Studies in Vision-based Safe
  Auto-landing
Refining Perception Contracts: Case Studies in Vision-based Safe Auto-landing
Yangge Li
Benjamin C Yang
Yixuan Jia
Daniel Zhuang
Sayan Mitra
27
4
0
15 Nov 2023
Bridging Dimensions: Confident Reachability for High-Dimensional
  Controllers
Bridging Dimensions: Confident Reachability for High-Dimensional Controllers
Yuang Geng
Jake Brandon Baldauf
Souradeep Dutta
Chao Huang
Ivan Ruchkin
30
5
0
08 Nov 2023
Is Certifying $\ell_p$ Robustness Still Worthwhile?
Is Certifying ℓp\ell_pℓp​ Robustness Still Worthwhile?
Ravi Mangal
Klas Leino
Zifan Wang
Kai Hu
Weicheng Yu
Corina S. Pasareanu
Anupam Datta
Matt Fredrikson
AAML
OOD
25
1
0
13 Oct 2023
Assumption Generation for the Verification of Learning-Enabled
  Autonomous Systems
Assumption Generation for the Verification of Learning-Enabled Autonomous Systems
C. Păsăreanu
Ravi Mangal
D. Gopinath
Huafeng Yu
AAML
22
2
0
27 May 2023
Assuring Safety of Vision-Based Swarm Formation Control
Assuring Safety of Vision-Based Swarm Formation Control
Chiao Hsieh
Yubin Koh
Yangge Li
Sayan Mitra
13
4
0
03 Oct 2022
Globally-Robust Neural Networks
Globally-Robust Neural Networks
Klas Leino
Zifan Wang
Matt Fredrikson
AAML
OOD
80
125
0
16 Feb 2021
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in
  Neural Networks
DeepSafe: A Data-driven Approach for Checking Adversarial Robustness in Neural Networks
D. Gopinath
Guy Katz
C. Păsăreanu
Clark W. Barrett
AAML
42
87
0
02 Oct 2017
Safety Verification of Deep Neural Networks
Safety Verification of Deep Neural Networks
Xiaowei Huang
M. Kwiatkowska
Sen Wang
Min Wu
AAML
178
931
0
21 Oct 2016
1