| Using extreme value theory for vehicle level safety validation and implications for autonomous vehicles D Åsljung, J Nilsson, J Fredriksson IEEE Transactions on Intelligent Vehicles 2 (4), 288-297, 2017 | 112 | 2017 |
| Comparing collision threat measures for verification of autonomous vehicles using extreme value theory D Åsljung, J Nilsson, J Fredriksson IFAC-PapersOnLine 49 (15), 57-62, 2016 | 24 | 2016 |
| A probabilistic framework for collision probability estimation and an analysis of the discretization precision D Åsljung, M Westlund, J Fredriksson 2019 IEEE intelligent vehicles symposium (iv), 52-57, 2019 | 13 | 2019 |
| On Safety Validation of Automated Driving Systems using Extreme Value Theory D Åsljung PQDT-Global, 2017 | 4 | 2017 |
| On automated vehicle collision risk estimation using threat metrics in subset simulation D Åsljung, C Zandén, J Fredriksson, MK Vakilzadeh 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 3 | 2021 |
| A Risk Reducing Fleet Monitor for Automated Vehicles Based on Extreme Value Theory D Åsljung, C Zandén, J Fredriksson Authorea Preprints, 2023 | 2 | 2023 |
| On Statistical Methods for Safety Validation of Automated Vehicles D Åsljung PQDT-Global, 2022 | 2 | 2022 |
| Validation of collision frequency estimation using extreme value theory D Åsljung, J Nilsson, J Fredriksson 2017 IEEE 20th International Conference on Intelligent Transportation …, 2017 | 2 | 2017 |
| Safety and/or performance monitoring of an automated driving system M Gyllenhammar, D Åsljung US Patent App. 18/181,913, 2023 | | 2023 |
| TRUST-ME J Nilsson, D Åsljung, J Fredriksson | | |
