Daniel Adolfsson

Articles in journals

• Alhashimi, A. , Adolfsson, D. , Andreasson, H. , Lilienthal, A. & Magnusson, M. (2024). BFAR: improving radar odometry estimation using a bounded false alarm rate detector.  Autonomous Robots, 48 (8). [BibTeX]
• Molina, S. , Mannucci, A. , Magnusson, M. , Adolfsson, D. , Andreasson, H. , Hamad, M. , Abdolshah, S. , Chadalavada, R. T. & et al. (2024). The ILIAD Safety Stack: Human-Aware Infrastructure-Free Navigation of Industrial Mobile Robots.  IEEE robotics & automation magazine, 31 (3), 48-59. [BibTeX]
• Adolfsson, D. , Magnusson, M. , Alhashimi, A. , Lilienthal, A. & Andreasson, H. (2023). Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments.  IEEE Transactions on robotics, 39 (2), 1476-1495. [BibTeX]
• Adolfsson, D. , Karlsson, M. , Kubelka, V. , Magnusson, M. & Andreasson, H. (2023). TBV Radar SLAM - Trust but Verify Loop Candidates.  IEEE Robotics and Automation Letters, 8 (6), 3613-3620. [BibTeX]
• 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. [BibTeX]

Conference papers

• Hilger, M. , Kubelka, V. , Adolfsson, D. , Andreasson, H. & Lilienthal, A. (2024). Towards introspective loop closure in 4D radar SLAM. Paper presented at Radar in Robotics: Resilience from Signal to Navigation - Full-Day Workshop at 2024 IEEE International Conference on Robotics and Automation (ICRA 2024), Yokohama, Japan, May 13-17, 2024. [BibTeX]
• Alhashimi, A. , Adolfsson, D. , Magnusson, M. , Andreasson, H. & Lilienthal, A. (2021). BFAR – Bounded False Alarm Rate detector for improved radar odometry estimation. Paper presented at ICRA. [BibTeX]
• 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. [BibTeX]
• 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. [BibTeX]
• 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. [BibTeX]
• Adolfsson, D. , Magnusson, M. , Alhashimi, A. , Lilienthal, A. & Andreasson, H. (2021). Oriented surface points for efficient and accurate radar odometry. Paper presented at Radar Perception for All-Weather Autonomy - Half-Day Workshop at 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China, May 30 - June 5, 2021. [BibTeX]
• 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. [BibTeX]
• 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. [BibTeX]
• 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. [BibTeX]
• 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). [BibTeX]

Doctoral theses, comprehensive summaries

• Adolfsson, D. (2023). Robust large-scale mapping and localization: Combining robust sensing and introspection. (Doctoral dissertation). (Comprehensive summary) Örebro: Örebro University. [BibTeX]