Jens Henriksson

According to our database, Jens Henriksson authored at least 10 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system.

Markus Borg, Jens Henriksson, Kasper Socha, Olof Lennartsson, Elias Sonnsjö Lönegren, Thanh Bui, Piotr Tomaszewski, Sankar Raman Sathyamoorthy, Sebastian Brink, Mahshid Helali Moghadam

Softw. Qual. J., June, 2023

Out-of-Distribution Detection as Support for Autonomous Driving Safety Lifecycle.

Jens Henriksson, Stig Ursing, Murat Erdogan, Fredrik Warg, Anders Thorsén, Johan Jaxing, Ola Örsmark, Mathias Örtenberg Toftås

Proceedings of the Requirements Engineering: Foundation for Software Quality, 2023

Evaluation of Out-of-Distribution Detection Performance on Autonomous Driving Datasets.

Jens Henriksson, Christian Berger, Stig Ursing, Markus Borg

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2023

2022

SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case.

Kasper Socha, Markus Borg, Jens Henriksson

Softw. Impacts, 2022

2021

Performance analysis of out-of-distribution detection on trained neural networks.

Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund

Inf. Softw. Technol., 2021

Understanding the Impact of Edge Cases from Occluded Pedestrians for ML Systems.

Jens Henriksson, Christian Berger, Stig Ursing

Proceedings of the 47th Euromicro Conference on Software Engineering and Advanced Applications, 2021

2020

Controlled time series generation for automotive software-in-the-loop testing using GANs.

Dhasarathy Parthasarathy, Karl Bäckström, Jens Henriksson, Sólrún Einarsdóttir

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2020

2019

Performance Analysis of Out-of-Distribution Detection on Various Trained Neural Networks.

Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Sankar Raman Sathyamoorthy, Cristofer Englund

Proceedings of the 45th Euromicro Conference on Software Engineering and Advanced Applications, 2019

Towards Structured Evaluation of Deep Neural Network Supervisors.

Jens Henriksson, Christian Berger, Markus Borg, Lars Tornberg, Cristofer Englund, Sankar Raman Sathyamoorthy, Stig Ursing

Proceedings of the IEEE International Conference On Artificial Intelligence Testing, 2019

2018

Automotive Safety and Machine Learning: Initial Results from a Study on How to Adapt the ISO 26262 Safety Standard.

Jens Henriksson, Markus Borg, Cristofer Englund

Proceedings of the 1st IEEE/ACM International Workshop on Software Engineering for AI in Autonomous Systems, 2018