| Agricultural robot dataset for plant classification, localization and mapping on sugar beet fields N Chebrolu, P Lottes, A Schaefer, W Winterhalter, W Burgard, C Stachniss The International Journal of Robotics Research 36 (10), 1045-1052, 2017 | 349 | 2017 |
| Building an aerial–ground robotics system for precision farming: an adaptable solution A Pretto, S Aravecchia, W Burgard, N Chebrolu, C Dornhege, T Falck, ... IEEE Robotics & Automation Magazine 28 (3), 29-49, 2020 | 124 | 2020 |
| Long-term urban vehicle localization using pole landmarks extracted from 3-D lidar scans WB Alexander Schaefer, Daniel Büscher, Johan Vertens, Lukas Luft European Conference on Mobile Robotics (ECMR), 2019 | 82* | 2019 |
| An analytical lidar sensor model based on ray path information A Schaefer, L Luft, W Burgard IEEE Robotics and Automation Letters 2 (3), 1405-1412, 2017 | 30 | 2017 |
| Long-term vehicle localization in urban environments based on pole landmarks extracted from 3-D lidar scans A Schaefer, D Büscher, J Vertens, L Luft, W Burgard Robotics and Autonomous Systems 136, 103709, 2021 | 29 | 2021 |
| Life cycle asset allocation in the presence of housing and tax-deferred investing M Marekwica, A Schaefer, S Sebastian Journal of Economic Dynamics and Control 37 (6), 1110-1125, 2013 | 24 | 2013 |
| From plants to landmarks: Time-invariant plant localization that uses deep pose regression in agricultural fields F Kraemer, A Schaefer, A Eitel, J Vertens, W Burgard arXiv preprint arXiv:1709.04751, 2017 | 20 | 2017 |
| Detecting changes in the environment based on full posterior distributions over real-valued grid maps L Luft, A Schaefer, T Schubert, W Burgard IEEE Robotics and Automation Letters 3 (2), 1299-1305, 2018 | 19 | 2018 |
| Dct maps: Compact differentiable lidar maps based on the cosine transform A Schaefer, L Luft, W Burgard IEEE Robotics and Automation Letters 3 (2), 1002-1009, 2018 | 17 | 2018 |
| A maximum likelihood approach to extract polylines from 2-D laser range scans A Schaefer, D Büscher, L Luft, W Burgard 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 13 | 2018 |
| Closed-form full map posteriors for robot localization with lidar sensors L Luft, A Schaefer, T Schubert, W Burgard 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 13 | 2017 |
| Systems and methods for improving localization accuracy by sharing dynamic object localization information MK A. Schaefer, H. Yasuda US Patent App. 17/540,148, 2021 | 2* | 2021 |
| Does Size Matter? Scale and Scope Economies of German Investment Management Companies A Schaefer, R Maurer Schmalenbach Business Review 65, 137-172, 2013 | 2 | 2013 |
| Cost efficiency of German mutual fund complexes A Schaefer, R Maurer Available at SSRN 2516817, 2013 | 2 | 2013 |
| Mapping and localization using multispectral imaging of the soil S Glaser, A Schaefer, W Burgard IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS …, 2018 | 1 | 2018 |
| What Do Mutual Funds Do? Mutual Funds and Financial Intermediation A Schaefer Mutual Funds and Financial Intermediation (November 10, 2011), 2011 | 1 | 2011 |
| Does size matter? Economies of scale in the German mutual fund industry R Mauerer, A Schaefer Working Paper Series: Finance & Accounting, 2009 | 1 | 2009 |
| Systems and methods for improving localization accuracy by sharing mutual localization information MK A. Schaefer, H. Yasuda US Patent App. 17/517,850, 2021 | | 2021 |
| Collaborative localization of a vehicle using radiolocation MK A. Schaefer, H. Yasuda US Patent App. 17/407,115, 2021 | | 2021 |
| Highly Accurate Lidar-Based Mapping and Localization for Mobile Robots A Schaefer University of Freiburg, Department of Computer Science, 2020 | | 2020 |
Wolfram BurgardProfessor of Computer Science, Technical University of Nuremberg在 utn.de 的电子邮件经过验证
