Daniel Adolfsson
Title: Research Assistant (Doctoral Student) School/office: School of Science and TechnologyEmail: daniel.adolfsson@oru.se
Phone: +46 19 303000
Room: T1217

Research subject
Research environments
Research projects
Completed projects
Research teams
Publications
Articles in journals |
Conference papers |
Articles in journals
- Adolfsson, D. , Castellano-Quero, M. , Magnusson, M. , Lilienthal, A. J. & Andreasson, H. (2022). CorAl: Introspection for robust radar and lidar perception in diverse environments using differential entropy. Robotics and Autonomous Systems, 155.
- Adolfsson, D. , Magnusson, M. , Alhashimi, A. , Lilienthal, A. & Andreasson, H. (2022). Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments. IEEE Transactions on robotics.
Conference papers
- Adolfsson, D. , Magnusson, M. , Alhashimi, A. , Lilienthal, A. & Andreasson, H. (2021). CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021). Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic, (Online Conference), September 27 - October 1, 2021. (pp. 5462-5469). IEEE.
- Adolfsson, D. , Magnusson, M. , Liao, Q. , Lilienthal, A. & Andreasson, H. (2021). CorAl – Are the point clouds Correctly Aligned?. In: 10th European Conference on Mobile Robots (ECMR 2021). Paper presented at 10th European Conference on Mobile Robots (ECMR 2021), Bonn, Germany, (Online Conference), August 31 - September 3, 2021. IEEE.
- Zhou, Z. , Zhao, C. , Adolfsson, D. , Su, S. , Gao, Y. , Duckett, T. & Sun, L. (2021). NDT-Transformer: Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. In: 2021 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 30 - June 5, 2021. IEEE.
- Sun, L. , Adolfsson, D. , Magnusson, M. , Andreasson, H. , Posner, I. & Duckett, T. (2020). Localising Faster: Efficient and precise lidar-based robot localisation in large-scale environments. In: 2020 IEEE International Conference on Robotics and Automation (ICRA). Paper presented at 2020 IEEE International Conference on Robotics and Automation (ICRA), Paris, France, May 31 - August 31, 2020. (pp. 4386-4392). IEEE.
- Adolfsson, D. , Lowry, S. , Magnusson, M. , Lilienthal, A. J. & Andreasson, H. (2019). A Submap per Perspective: Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. In: 2019 European Conference on Mobile Robots (ECMR). Paper presented at European Conference on Mobile Robotics (ECMR), Prague, Czech Republic, September 4-6, 2019. IEEE.
- Adolfsson, D. , Lowry, S. & Andreasson, H. (2018). Improving Localisation Accuracy using Submaps in warehouses. Paper presented at IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), Workshop on Robotics for Logistics in Warehouses and Environments Shared with Humans, Madrid, Spain, October 5, 2018.
- Andreasson, H. , Adolfsson, D. , Stoyanov, T. , Magnusson, M. & Lilienthal, A. (2017). Incorporating Ego-motion Uncertainty Estimates in Range Data Registration. In: 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Paper presented at IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017), Vancouver, Canada, September 24–28, 2017. (pp. 1389-1395). Institute of Electrical and Electronics Engineers (IEEE).