| Automated detection and recognition of wildlife using thermal cameras P Christiansen, KA Steen, RN Jørgensen, H Karstoft Sensors 14 (8), 13778-13793, 2014 | 175 | 2014 |
| DeepAnomaly: Combining background subtraction and deep learning for detecting obstacles and anomalies in an agricultural field P Christiansen, LN Nielsen, KA Steen, RN Jørgensen, H Karstoft Sensors 16 (11), 1904, 2016 | 168 | 2016 |
| Unsuperpoint: End-to-end unsupervised interest point detector and descriptor PH Christiansen, MF Kragh, Y Brodskiy, H Karstoft arXiv preprint arXiv:1907.04011, 2019 | 90 | 2019 |
| Using deep learning to challenge safety standard for highly autonomous machines in agriculture KA Steen, P Christiansen, H Karstoft, RN Jørgensen Journal of Imaging 2 (1), 6, 2016 | 89 | 2016 |
| Efficacy and safety of hormonal treatment of cryptorchidism: current state of the art AV Thorsson, P Christiansen, M Ritzén Acta paediatrica 96 (5), 628-630, 2007 | 81 | 2007 |
| Fieldsafe: dataset for obstacle detection in agriculture MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ... Sensors 17 (11), 2579, 2017 | 70 | 2017 |
| Treatment of cryptorchidism with human chorionic gonadotropin or gonadotropin releasing hormone: a double-blind controlled study of 243 boys P Christiansen, J Müller, S Buhl, OR Hansen, N Hobolth, BB Jacobsen, ... Hormones 30 (4-5), 187-192, 1988 | 55 | 1988 |
| Estimation of plant species by classifying plants and leaves in combination M Dyrmann, P Christiansen, HS Midtiby Journal of Field Robotics 35 (2), 202-212, 2018 | 26 | 2018 |
| Multi-modal detection and mapping of static and dynamic obstacles in agriculture for process evaluation T Korthals, M Kragh, P Christiansen, H Karstoft, RN Jørgensen, U Rückert Frontiers in Robotics and AI 5, 28, 2018 | 18 | 2018 |
| Platform for evaluating sensors and human detection in autonomous mowing operations P Christiansen, M Kragh, KA Steen, H Karstoft, RN Jørgensen Precision agriculture 18, 350-365, 2017 | 18 | 2017 |
| Automated classification of seedlings using computer vision M Dyrmann, P Christiansen Aarhus University, School of Engineering, Technical Information Technology, 2014 | 14* | 2014 |
| Advanced sensor platform for human detection and protection in autonomous farming P Christiansen, MK Hansen, KA Steen, H Karstoft, RN Jørgensen Precision agriculture'15, 291-298, 2015 | 13 | 2015 |
| Multimodal obstacle detection and evaluation of occupancy grid mapping in agriculture. M Kragh, P Christiansen, T Korthals, T Jungeblut, H Karstoft, ... | 9 | 2016 |
| Unsuperpoint: End-to-end unsupervised interest point detector and descriptor. arXiv 2019 PH Christiansen, MF Kragh, Y Brodskiy, H Karstoft arXiv preprint arXiv:1907.04011, 0 | 6 | |
| Towards inverse sensor mapping in agriculture T Korthals, M Kragh, P Christiansen, U Rückert arXiv preprint arXiv:1805.08595, 2018 | 5 | 2018 |
| Towards autonomous plant production using fully convolutional neural networks. P Christiansen, R Sørensen, S Skovsen, CD Jæger, RN Jørgensen, ... | 5 | 2016 |
| TractorEYE: vision-based real-time detection for autonomous vehicles in agriculture P Christiansen Department of Engineering, Aarhus University, 2017 | 4 | 2017 |
| Sparse-to-dense depth completion in precision farming S Farkhani, MF Kragh, PH Christiansen, RN Jørgensen, H Karstoft Proceedings of the 3rd International Conference on Vision, Image and Signal …, 2019 | 3 | 2019 |
| Field trial design using semi-automated conventional machinery and aerial drone imaging for outlier identification RN Jørgensen, MB Brandt, T Schmidt, MS Laursen, R Larsen, ... Precision agriculture'15, 146-151, 2015 | 3 | 2015 |
| Towards a DSL for perception-based safety systems JTM Ingibergsson, SD Suvei, MK Hansen, P Christiansen, UP Schultz arXiv preprint arXiv:1603.01965, 2016 | 2* | 2016 |
Rasmus Nyholm JørgensenSenior Scientist, Aarhus Universityagrointelli.com의 이메일 확인됨
