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Nived Chebrolu
Nived Chebrolu
Oxford Robotics Institute, University of Oxford
Verified email at robots.ox.ac.uk - Homepage
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Year
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
1892017
Joint stem detection and crop-weed classification for plant-specific treatment in precision farming
P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss
2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018
532018
Robust long-term registration of UAV images of crop fields for precision agriculture
N Chebrolu, T Läbe, C Stachniss
IEEE Robotics and Automation Letters 3 (4), 3097-3104, 2018
492018
Robust joint stem detection and crop‐weed classification using image sequences for plant‐specific treatment in precision farming
P Lottes, J Behley, N Chebrolu, A Milioto, C Stachniss
Journal of Field Robotics 37 (1), 20-34, 2020
462020
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
392020
Visual servoing-based navigation for monitoring row-crop fields
A Ahmadi, L Nardi, N Chebrolu, C Stachniss
2020 IEEE International Conference on Robotics and Automation (ICRA), 4920-4926, 2020
322020
Poisson surface reconstruction for LiDAR odometry and mapping
I Vizzo, X Chen, N Chebrolu, J Behley, C Stachniss
2021 IEEE International Conference on Robotics and Automation (ICRA), 5624-5630, 2021
302021
Adaptive robust kernels for non-linear least squares problems
N Chebrolu, T Läbe, O Vysotska, J Behley, C Stachniss
IEEE Robotics and Automation Letters 6 (2), 2240-2247, 2021
272021
Robot localization based on aerial images for precision agriculture tasks in crop fields
N Chebrolu, P Lottes, T Läbe, C Stachniss
2019 International Conference on Robotics and Automation (ICRA), 1787-1793, 2019
232019
Segmentation-based 4D registration of plants point clouds for phenotyping
F Magistri, N Chebrolu, C Stachniss
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
182020
Pheno4D: A spatio-temporal dataset of maize and tomato plant point clouds for phenotyping and advanced plant analysis
D Schunck, F Magistri, RA Rosu, A Cornelißen, N Chebrolu, S Paulus, ...
Plos one 16 (8), e0256340, 2021
162021
Spatio-Temporal Non-Rigid Registration of 3D Point Clouds of Plants
N Chebrolu, T Läbe, C Stachniss
Proceedings of the IEEE Int. Conf. on Robotics & Automation (ICRA), 2020
162020
Collaborative visual slam framework for a multi-robot system
N Chebrolu, D Marquez-Gamez, P Martinet
7th Workshop on Planning, Perception and Navigation for Intelligent Vehicles, 2015
152015
Registration of spatio-temporal point clouds of plants for phenotyping
N Chebrolu, F Magistri, T Läbe, C Stachniss
PloS one 16 (2), e0247243, 2021
122021
Towards In-Field Phenotyping Exploiting Differentiable Rendering with Self-Consistency Loss
F Magistri, N Chebrolu, J Behley, C Stachniss
2021 IEEE International Conference on Robotics and Automation (ICRA), 13960 …, 2021
52021
An efficient locally reactive controller for safe navigation in visual teach and repeat missions
M Mattamala, N Chebrolu, M Fallon
IEEE Robotics and Automation Letters 7 (2), 2353-2360, 2022
32022
UAV-based Field Monitoring for Precision Farming
P Lottes, N Chebrolu, F Liebisch, C Stachniss
Proc. 25. Workshop Computerbildanalyse in der Landwirtschaft, 2019
22019
Towards real-time forest inventory using handheld LiDAR
A Proudman, M Ramezani, ST Digumarti, N Chebrolu, M Fallon
Robotics and Autonomous Systems 157, 104240, 2022
2022
Predicting Dense and Context-aware Cost Maps for Semantic Robot Navigation
Y Goel, N Vaskevicius, L Palmieri, N Chebrolu, C Stachniss
arXiv preprint arXiv:2210.08952, 2022
2022
3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Y Tao, M Popović, Y Wang, ST Digumarti, N Chebrolu, M Fallon
arXiv preprint arXiv:2207.12520, 2022
2022
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