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Peter Hviid Christiansen
Peter Hviid Christiansen
PhD, Department of Engineering, Aarhus University
Verified email at eng.au.dk
Title
Cited by
Cited by
Year
Automated detection and recognition of wildlife using thermal cameras
P Christiansen, KA Steen, RN Jørgensen, H Karstoft
Sensors 14 (8), 13778-13793, 2014
1862014
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
1742016
Unsuperpoint: End-to-end unsupervised interest point detector and descriptor
PH Christiansen, MF Kragh, Y Brodskiy, H Karstoft
arXiv preprint arXiv:1907.04011, 2019
932019
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
882016
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
822007
Fieldsafe: dataset for obstacle detection in agriculture
MF Kragh, P Christiansen, MS Laursen, M Larsen, KA Steen, O Green, ...
Sensors 17 (11), 2579, 2017
702017
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
571988
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
272018
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
192018
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
182017
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
132015
Multi-modal obstacle detection and evaluation of occupancy grid mapping in agriculture
M Kragh, P Christiansen, T Korthals, T Jungeblut, H Karstoft, ...
International Conference on Agricultural Engineering, 2016
92016
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
52018
Towards autonomous plant production using fully convolutional neural networks
P Christiansen, R Sørensen, S Skovsen, CD Jæger, RN Jørgensen, ...
International Conference on Agricultural Engineering, 1-8, 2016
52016
TractorEYE: vision-based real-time detection for autonomous vehicles in agriculture
P Christiansen
Department of Engineering, Aarhus University, 2017
42017
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
32019
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
32015
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
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