| The strands project: Long-term autonomy in everyday environments N Hawes, C Burbridge, F Jovan, L Kunze, B Lacerda, L Mudrova, J Young, ... IEEE Robotics & Automation Magazine 24 (3), 146-156, 2017 | 267 | 2017 |
| Meta-rooms: Building and maintaining long term spatial models in a dynamic world R Ambruş, N Bore, J Folkesson, P Jensfelt 2014 IEEE/RSJ international conference on intelligent robots and systems …, 2014 | 99 | 2014 |
| A system for autonomous seaweed farm inspection with an underwater robot I Stenius, J Folkesson, S Bhat, CI Sprague, L Ling, Ö Özkahraman, N Bore, ... Sensors 22 (13), 5064, 2022 | 29 | 2022 |
| Towards autonomous industrial-scale bathymetric surveying I Torroba, N Bore, J Folkesson 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019 | 28 | 2019 |
| A cyber-physical system for hydrobatic AUVs: System integration and field demonstration S Bhat, I Torroba, Ö Özkahraman, N Bore, CI Sprague, Y Xie, I Stenius, ... 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-8, 2020 | 27 | 2020 |
| Modeling and simulation of sidescan using conditional generative adversarial network N Bore, J Folkesson IEEE Journal of Oceanic Engineering 46 (1), 195-205, 2020 | 24 | 2020 |
| Detection and tracking of general movable objects in large three-dimensional maps N Bore, J Ekekrantz, P Jensfelt, J Folkesson IEEE Transactions on Robotics 35 (1), 231-247, 2018 | 24 | 2018 |
| Bathymetric reconstruction from sidescan sonar with deep neural networks Y Xie, N Bore, J Folkesson IEEE Journal of Oceanic Engineering 48 (2), 372-383, 2022 | 23 | 2022 |
| Sparse gaussian process slam, storage and filtering for auv multibeam bathymetry N Bore, I Torroba, J Folkesson 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018 | 23 | 2018 |
| PointNetKL: Deep inference for GICP covariance estimation in bathymetric SLAM I Torroba, CI Sprague, N Bore, J Folkesson IEEE Robotics and Automation Letters 5 (3), 4078-4085, 2020 | 22 | 2020 |
| Lambert’s cosine law and sidescan sonar modeling J Folkesson, H Chang, N Bore 2020 IEEE/OES Autonomous Underwater Vehicles Symposium (AUV), 1-6, 2020 | 20 | 2020 |
| Towards a cyber-physical system for hydrobatic auvs S Bhat, I Stenius, N Bore, J Severholt, C Ljung, IT Balmori OCEANS 2019-Marseille, 1-7, 2019 | 19 | 2019 |
| Neural shape-from-shading for survey-scale self-consistent bathymetry from sidescan N Bore, J Folkesson IEEE Journal of Oceanic Engineering 48 (2), 416-430, 2022 | 17 | 2022 |
| Inferring depth contours from sidescan sonar using convolutional neural nets Y Xie, N Bore, J Folkesson IET Radar, Sonar & Navigation 14 (2), 328-334, 2020 | 17 | 2020 |
| Efficient retrieval of arbitrary objects from long-term robot observations N Bore, R Ambrus, P Jensfelt, J Folkesson Robotics and Autonomous Systems 91, 139-150, 2017 | 17 | 2017 |
| A comparison of submap registration methods for multibeam bathymetric mapping I Torroba, N Bore, J Folkesson 2018 IEEE/OES Autonomous Underwater Vehicle Workshop (AUV), 1-6, 2018 | 14 | 2018 |
| Grounding of human environments and activities for autonomous robots M Alomari, P Duckworth, N Bore, M Hawasly, DC Hogg, AG Cohn IJCAI-17 Proceedings, 1395-1402, 2017 | 13 | 2017 |
| Neural network normal estimation and bathymetry reconstruction from sidescan sonar Y Xie, N Bore, J Folkesson IEEE Journal of Oceanic Engineering 48 (1), 218-232, 2022 | 12 | 2022 |
| Multiple object detection, tracking and long-term dynamics learning in large 3d maps N Bore, P Jensfelt, J Folkesson arXiv preprint arXiv:1801.09292, 2018 | 11 | 2018 |
| Sidescan only neural bathymetry from large-scale survey Y Xie, N Bore, J Folkesson Sensors 22 (14), 5092, 2022 | 10 | 2022 |
John FolkessonAssociate Professor of Robotics, KTH Swedenبريد إلكتروني تم التحقق منه على kth.se
