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Magnus Gyllenhammar
Magnus Gyllenhammar
Industrial PhD Student Zenseact and KTH Royal Institute of Technology
Verificeret mail på zenseact.com - Startside
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Finding critical scenarios for automated driving systems: A systematic mapping study
X Zhang, J Tao, K Tan, M Törngren, JMG Sánchez, MR Ramli, X Tao, ...
IEEE Transactions on Software Engineering 49 (3), 991-1026, 2022
138*2022
Towards an Operational Design Domain That Supports the Safety Argumentation of an Automated Driving System
M Gyllenhammar, R Johansson, F Warg, DJ Chen, HM Heyn, ...
10th European Congress on Embedded Real Time Systems, 2020
982020
The quantitative risk norm-a proposed tailoring of HARA for ADS
F Warg, M Skoglund, A Thorsén, R Johansson, M Brännström, ...
2020 50th Annual IEEE/IFIP International Conference on Dependable Systems …, 2020
262020
Defining fundamental vehicle actions for the development of automated driving systems
M Gyllenhammar, C Zandén, M Törngren
SAE Technical Paper, 2020
82020
Minimal risk condition for safety assurance of automated driving systems
M Gyllenhammar, M Brännström, R Johansson, F Sandblom, S Ursing, ...
CARS: 6th International Workshop on Critical Automotive Applications …, 2021
72021
Methods and systems for automated driving system experience monitoring and/or management
M Gyllenhammar, C Zandén, MK VAKILZADEH
US Patent App. 17/530,616, 2022
52022
Platform for path planning system development for automated driving system
M Gyllenhammar, C Zandén, MK VAKILZADEH
US Patent App. 17/729,470, 2022
42022
Performance monitoring and evaluation of a vehicle adas or autonomous driving feature
M Gyllenhammar, C Zanden
US Patent App. 17/075,181, 2021
42021
Ads safety assurance–future directions
M Gyllenhammar, C Bergenhem, F Warg
CARS 2021: 6th International Workshop on Critical Automotive Applications …, 2021
42021
Scenario identification in autonomous driving environments
M Gyllenhammar, H Sivencrona
US Patent 12,084,051, 2024
32024
Path planning in autonomous driving environments
M Gyllenhammar, H Sivencrona
US Patent App. 17/477,906, 2022
32022
Holistic Perspectives on Safety of Automated Driving Systems-Methods for Provision of Evidence
M Gyllenhammar, GR de Campos, M Törngren
Authorea Preprints, 2023
22023
Risk estimation in autonomous driving environments
M Gyllenhammar, H Sivencrona
US Patent App. 17/477,920, 2022
22022
Methods and systems for automated driving system monitoring and management
M Gyllenhammar, C Zandén, MK VAKILZADEH, A Falkovén
US Patent App. 17/232,331, 2021
22021
Finding critical scenarios for automated driving systems: The data extraction form
X Zhang, J Tao, K Tan, M Törngren, JM Gaspar Sánchez, MR Ramli, T Xin, ...
22021
System and method for federated learning of self-supervised networks in automated driving systems
M Gyllenhammar, A Tonderski
US Patent App. 18/182,629, 2023
12023
Perception performance evaluation of a vehicle adas or ads
M Gyllenhammar, MK Vakilzadeh, C Zandén, AV Falkovén
US Patent 11,738,776, 2023
12023
Platform for perception system development for automated driving systems
M Gyllenhammar, C Zandén, MK VAKILZADEH
US Patent App. 17/672,791, 2022
12022
Uncertainty aware data driven precautionary safety for automated driving systems considering perception failures and event exposure
M Gyllenhammar, GR de Campos, F Sandblom, M Törngren, ...
2022 IEEE Intelligent Vehicles Symposium (IV), 607-615, 2022
12022
Estimation of probability of collision with increasing severity level for autonomous vehicles
M Gyllenhammar, C Zandén, MK VAKILZADEH, A Falkovén, J Olsson, ...
US Patent App. 17/374,054, 2022
12022
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