Difference between revisions of "Portal:Sources"
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== Most recent papers == | == Most recent relevant papers == | ||
* Formal verification of neural network controlled autonomous systems, X Sun, H Khedr, Y Shoukry - Proceedings HSCC 2019 [https://dl.acm.org/doi/abs/10.1145/3302504.3311802 link] | * Formal verification of neural network controlled autonomous systems, X Sun, H Khedr, Y Shoukry - Proceedings HSCC 2019 [https://dl.acm.org/doi/abs/10.1145/3302504.3311802 link] |
Revision as of 14:55, 19 September 2022
- Notes for improvement
- organize and structure to better differentiate between documentation, resources (e.g. test ranges and tools), and collaborative activities (e.g. conferences)
Standards
- 1012-2016 - IEEE Standard for System, Software, and Hardware Verification and Validation [1]
Best practices
Books on verification
- Model checking book. E. Clarke
- Other model checking book by Peter Katoen
- Book on software testing/model-based testing
- Artificial Intelligence and Software Testing - Building systems you can trust (2022). Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright. Edited by Adam Leon Smith link
Special issues on VAS
- Journals
Case studies
- Steps and method followed when verifying a system
Whitepapers on autonomous systems V&V from regulators
- How to apply V&V to autonomous systems
- How to interpret regulations for different countries
- What remains to be done for regulations
E.g.
- Reviews on regulations for autonomous systems in Australia
Review or survey papers on V&V
- Michael Fisher's survey paper
- Signe + David Tate's white paper
Existing projects
- Metrics [2] - finding ways to organize competitions that are reproducible, benchmarks to structure robotics competitions, comparing hardware and software together. Applications: healthcare, agriculture, etc.
Benchmark models
- Simulink model benchmark for falsification (3 models)
Testing fields & sites/labs
- Georgia Tech Robotarium
- Urban search and rescue at Texas A&M
Robotics & autonomous systems competitions
- DARPA
- Autonomous vehicles
- European Robotics League
- ROBOCUP
- AWS Deepracer (deep learning for training autonomous vehicles)
- Australia & New Zealand Search and Rescue
- SAUC-E - underwater robotics competition
- Robosub
Conferences
Most recent relevant papers
- Formal verification of neural network controlled autonomous systems, X Sun, H Khedr, Y Shoukry - Proceedings HSCC 2019 link
- Towards a framework for certification of reliable autonomous systems, M Fisher, V Mascardi, KY Rozier, BH Schlinglof, M Winikoff, N Yorke-Smith - Autonomous Agents and Multi-Agent Systems 2021 link
- Verifying the safety of autonomous systems with neural network controllers, R Ivanov, TJ Carpenter, J Weimer, R Alur, GJ Pappas, I Lee - ACM Transactions on Embedded Computing Systems 2020 link
- A Review of Verification and Validation for Space Autonomous Systems, RC Cardoso, G Kourtis, LA Dennis, C Dixon, M Farrell, M Fisher, M Webster - Current Robotics Reports 2021 link
- Formal verification of colreg-based navigation of maritime autonomous systems, F Shokri-Manninen, J Vain, M Waldén - Proceedings of SEFM 2020 link
- Reaching Out Towards Fully Verified Autonomous Systems, S Sankaranarayanan, S Dutta, S Mover - Proceedings of RP 2019 link
- Compositional verification for autonomous systems with deep learning components, CS Păsăreanu, D Gopinath, H Yu - Safe, Autonomous and Intelligent Vehicles 2019 link
- Recent trends in formal validation and verification of autonomous robots software, F Ingrand - IEEE International Conference on Robotic Computing, 2019 link
- Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach, JJ Beard, A Baheri - arXiv preprint 2022 link
- On-line testing for autonomous systems driven by RISC-V processor design verification, A Ruospo, R Cantoro, E Sanchez, PD Schiavone, A Garofalo, L Benini - IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2019 link