About the Project
Connected automated vehicles (CAV) are expected to be able to provide more efficient, accessible and safer transport solutions, but the development of such complex safety-critical systems is a challenge. SALIENCE4CAV is a research project with the goal of developing methods for safety assurance for CAVs that can be part of an iterative development process supporting continuous deployment. This enables easier introduction of new automated functions to the market, where the function can initially support only a few key use cases, followed by gradual development of performance and number of use cases.
SALIENCE4CAV is a successor to the project ESPLANADE. The project started on January 1st 2021 and will run to June 30th 2023.
The SALIENCE4CAV project (ref. 2020-02946) is supported by the Strategic vehicle research and innovation programme (FFI).
Publications
| Peer- reviewed |
Title | Author(s) | Conference/Journal name or type of publication |
|---|---|---|---|
| Y | Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems | Jens Henriksson, Christian Berger, Stig Ursing | Euromicro Conference on Software Engineering and Advanced Applications (SEAA 2021) |
| Y | Precautionary Safety for Autonomous Driving Systems: Adapting Driving Policies to Satisfy Quantitative Risk Norms (fulltext) | Gabriel Rodrigues de Campos, Roozbeh Kianfar, Mattias Brännström | 24th IEEE International Conference on Intelligent Transportation (ITSC 2021) |
| Y | Minimal Risk Condition for Safety Assurance of Automated Driving Systems | Magnus Gyllenhammar, Mattias Brännström, Rolf Johansson, Fredrik Sandblom, Stig Ursing, Fredrik Warg | 6th International Workshop on Critical Automotive Applications: Robustness & Safety (CARS) at EDCC 2021 |
| Y | ADS Safety Assurance Methods - Future Directions | Magnus Gyllenhammar, Carl Bergenhem, Fredrik Warg | 6th International Workshop on Critical Automotive Applications: Robustness & Safety (CARS) at EDCC 2021 |
| Y | Human Interaction Safety Analysis Method for Agreements with Connected Automated Vehicles (fulltext) | Fredrik Warg, Martin Skoglund, Matthew Sassman | IEEE 94th Vehicular Technology Conference (VTC 2021-Fall) |
| Y | Developing SEooC – Original Concepts and Implications when Extending to ADS | Rolf Johansson and Håkan Sivencrona | 6th International Workshop on Critical Automotive Applications: Robustness & Safety (CARS) at EDCC 2021 |
| Y | Uncertainty Aware Data Driven Precautionary Safety for Automated Driving Systems Considering Perception Failures and Event Exposure | Magnus Gyllenhammar, Gabriel Rodrigues de Campos, Fredrik Sandblom, Martin Törngren and Håkan Sivencrona | 33rd IEEE Intelligent Vehicles Symposium (IV 2022). Student paper awards, 2nd place! |
| N | Holistic Perspectives on Safety of Automated Driving Systems - Methods for Provision of Evidence | Magnus Gyllenhammar, Gabriel Rodrigues de Campos, and Martin Törngren | Preprint |
| Y | Out-of-Distribution Detection as Support for Autonomous Driving Safety Lifecycle | Jens Henriksson, Stig Ursing, Murat Erdogan, Fredrik Warg, Anders Thorsen, Johan Jaxing, Ola Örsmark, and Mathias Örtenberg Toftås | 29th International Working Conference on Requirement Engineering: Foundation for Software Quality (REFSQ 2023) |
| Y | Minimal Risk Manoeuvre Strategies for Cooperative and Collaborative Automated Vehicles | Victoria Vu, Fredrik Warg, Anders Thorsén, Stig Ursing, Fredrik Sunnerstam, Jimmy Holler, Carl Bergenhem, Irina Cosmin | 9th International Workshop on Safety and Security of Intelligent Vehicles (SSIV), held in conjunction with DSN 2023 |
| Y | Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets | Jens Henriksson, Christian Berger, Stig Ursing and Markus Borg | The 5th IEEE International Conference on Artificial Intelligence Testing (AITest 2023) |
| Y | A Simulation-Aided Approach to Safety Analysis of Learning-Enabled Components in Automated Driving Systems | Peng Su, Fredrik Warg, DeJiu Chen | 26th IEEE International Conference on Intelligent Transportation Systems (ITSC 2023) - Workshop on Beyond Traditional Sensing for Intelligent Transportation |
| N | Managing continuous assurance of complex dependable systems | Fredrik Warg, Omar Jaradat, Anders Cassel, Dejiu Chen, Negin Nejad, Anders Thorsén, Stig Ursing | Report |
Talks and Events
| Title | Presenter | Venue | Date |
|---|---|---|---|
| The SALIENCE4CAV project | Fredrik Warg | SAFER vehicle and traffic safety center | 2020-11-17 |
| Safety for ML components | Jens Henriksson | SAFER Safety assurance for ADS competence network | 2021-11-04 |
| Addressing the safety implications of interactions between humans and automated vehicles | Fredrik Warg | SAFER vehicle and traffic safety center | 2022-03-03 |
| Precautionary Safety for Autonomous Driving Systems: Adapting Driving Policies to Satisfy Quantitative Risk Norms | Gabriel Rodrigues de Campos | SAFER vehicle and traffic safety center | 2022-03-03 |
| Efficient Strategies for Safety Assurance of Automated Driving – half-time PhD seminar and discussion | Magnus Gyllenhammar | Seminar at the Vinnova competence center TECoSA thematic day "Resilience Meets Assurance" | 2022-06-15 |
| Holistic Technical Perspectives on Safety of Automated Driving Systems – Methods for Provision of Evidence | Magnus Gyllenhammar | Workshop at the Vinnova competence center TECoSA thematic day "Resilience Meets Assurance" | 2022-06-15 |
| Managing continuous assurance of complex dependable systems | Fredrik Warg, Omar Jaradat, Anders Cassel, Dejiu Chen, Negin Nejad, Anders Thorsén, Stig Ursing, Victoria Vu | Workshop @ 10th Scandinavian Conference on System and Software Safety (SCSSS 2022), Gothenburg | 2022-11-23 |
| AEB Use case- Pedestrian detection: How to use out-of-distribution detection method to argue AI/ML-based components into a safety lifecycle and related safety argument | Murat Erdogan | 2nd AI Automotive Summit | 2023-04-27 |
| Use-case study: How to use out-of-distribution Detection Method to argue AI/ML-based Components into a Safety Lifecycle and Related Safety Argument | Murat Erdogan | Automotive Functional Safety (ISO 26262) Forum | 2023-05-31 |
| Outlier Detection as a Safety Measure for Safety Critical Deep Learning | Jens Henriksson | Doctoral Defense, Chalmers | 2023-10-20 |
| Applications of artificial intelligence & machine learning in chassis design - Out-of-distribution detection for an AEB use-case | Murat Erdogan | 12th Annual Automotive Advanced Suspension Systems Europe 2023 - Part of the Automotive chassis systems technical conferences & exhibition week | 2023-11-23 |
| How to use out-of-distribution detection method to argue AI/ML-based components into a safety lifecycle and related safety argument | Murat Erdogan | 11th Scandinavian Conference on system and software safety (SCSSS 2023), Stockholm | 2023-11-21 |
Contact Us
| Name | Partner Affiliation | |
|---|---|---|
| Fredrik Warg (coordinator) | fredrik.warg@ri.se | RISE Research Institutes of Sweden |
| DeJiu Chen | chendj@kth.se | KTH Royal Institute of Technology |
| Carl Bergenhem | carl.bergenhem@qamcom.se | Qamcom Research and Technology AB |
| Stig Ursing | stig.ursing@semcon.com | Semcon Sweden AB |
| Fredrik Beckman | fredrik.beckman@veoneer.com | Veoneer Sweden AB |
Partners
This website is hosted by:
RISE Research Institutes of Sweden, Box 857, SE-501 15 Borås, Sweden
