Daniel Adolfsson

I’m a Ph.D student in the MRO lab at Örebro University since mars 2017. I’m in the field of perception and my research topic is semantic mapping on multiple scales using Laser ranging.
2016 I graduated from Malardalens University where I studied my masters in robotics and electronics.

I’m currently active in the research project ILIAD (Intra-Logistics with Integrated Automatic Deployment: safe and scalable fleets in shared spaces). In the private sector I’m working with FUMO.

For more info visit my Linkedin:

Contact

Daniel Adolfsson

AASS Research Centre
School of Science and Technology
Örebro University
70182 Örebro, Sweden
Room T1206
Phone +46 (0)19 30 37 11
daniel.adolfsson@oru.se

Publications

Journal Articles

[1]	D. Adolfsson, M. Castellano-Quero, M. Magnusson, A. J. Lilienthal and H. Andreasson. CorAl : Introspection for robust radar and lidar perception in diverse environments using differential entropy. Robotics and Autonomous Systems, 155, 2022 [ BibTeX \| DiVA ]
[2]	D. Adolfsson, M. Magnusson, A. Alhashimi, A. Lilienthal and H. Andreasson. Lidar-Level Localization With Radar? The CFEAR Approach to Accurate, Fast, and Robust Large-Scale Radar Odometry in Diverse Environments. IEEE Transactions on robotics 2022 [ BibTeX \| DiVA \| PDF ]

Refereed Conference and Workshop Articles

[1]	D. Adolfsson, M. Magnusson, A. Alhashimi, A. Lilienthal and H. Andreasson. CFEAR Radarodometry - Conservative Filtering for Efficient and Accurate Radar Odometry. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), pages 5462-5469, 2021 [ BibTeX \| DiVA \| PDF ]
[2]	D. Adolfsson, M. Magnusson, Q. Liao, A. Lilienthal and H. Andreasson. CorAl – Are the point clouds Correctly Aligned?. In 10th European Conference on Mobile Robots (ECMR 2021), 10, 2021 [ BibTeX \| DiVA \| PDF ]
[3]	Z. Zhou, C. Zhao, D. Adolfsson, S. Su, Y. Gao, T. Duckett and L. Sun. NDT-Transformer : Large-Scale 3D Point Cloud Localisation using the Normal Distribution Transform Representation. In 2021 IEEE International Conference on Robotics and Automation (ICRA) 2021 [ BibTeX \| DiVA ]
[4]	L. Sun, D. Adolfsson, M. Magnusson, H. Andreasson, I. Posner and T. Duckett. Localising Faster : Efficient and precise lidar-based robot localisation in large-scale environments. In 2020 IEEE International Conference on Robotics and Automation (ICRA), pages 4386-4392, 2020 [ BibTeX \| DiVA ]
[5]	D. Adolfsson, S. Lowry, M. Magnusson, A. J. Lilienthal and H. Andreasson. A Submap per Perspective : Selecting Subsets for SuPer Mapping that Afford Superior Localization Quality. In 2019 European Conference on Mobile Robots (ECMR) 2019 [ BibTeX \| DiVA \| PDF ]
[6]	D. Adolfsson, S. Lowry and H. Andreasson. Improving Localisation Accuracy using Submaps in warehouses. 2018 [ BibTeX \| DiVA \| PDF ]
[7]	H. Andreasson, D. Adolfsson, T. Stoyanov, M. Magnusson and A. Lilienthal. Incorporating Ego-motion Uncertainty Estimates in Range Data Registration. In 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pages 1389-1395, 2017 [ BibTeX \| DiVA ]

Theses

[1]	B. Albin and D. Adolfsson. Integrated Localization and Directed Communication for Acoustic Underwater Systems. Mälardalen University, School of Innovation, Design and Engineering, M.Sc. Thesis, 2016 [ BibTeX \| PDF ]

Find the complete BibTeX record here.