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Sundara Tejaswi Digumarti
Sundara Tejaswi Digumarti
Oxford Robotics Institute, UK
Verified email at robots.ox.ac.uk - Homepage
Title
Cited by
Cited by
Year
The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition
R Chavarriaga, H Sagha, A Calatroni, ST Digumarti, G Tröster, JR Millán, ...
Pattern Recognition Letters 34 (15), 2033-2042, 2013
5962013
Benchmarking classification techniques using the Opportunity human activity dataset
H Sagha, ST Digumarti, JR Millán, R Chavarriaga, A Calatroni, D Roggen, ...
2011 IEEE International Conference on Systems, Man, and Cybernetics, 36-40, 2011
1112011
Underwater 3D capture using a low-cost commercial depth camera
ST Digumarti, G Chaurasia, A Taneja, R Siegwart, A Thomas, P Beardsley
2016 IEEE Winter Conference on Applications of Computer Vision (WACV), 1-9, 2016
522016
Automatic segmentation of tree structure from point cloud data
ST Digumarti, J Nieto, C Cadena, R Siegwart, P Beardsley
IEEE Robotics and Automation Letters 3 (4), 3043-3050, 2018
162018
An Approach for Semantic Segmentation of Tree-like Vegetation
ST Digumarti, LM Schmid, RG Maria, J Nieto, R Siegwart, P Beardsley, ...
2019 IEEE International Conference on Robotics and Automation, 2019
132019
Design and implementation of a smart wheelchair
AR Trivedi, AK Singh, ST Digumarti, D Fulwani, S Kumar
Proceedings of Conference on Advances In Robotics, 1-6, 2013
122013
Rendezvous with bearing-only information and limited sensing range
M Kriegleder, ST Digumarti, R Oung, R D'Andrea
2015 IEEE International Conference on Robotics and Automation (ICRA), 5941-5947, 2015
102015
Pixelbots 2014
T Digumarti, J Alonso-Mora, R Siegwart, P Beardsley
ACM SIGGRAPH 2016 Art Gallery, 366-367, 2016
62016
Unsupervised learning of depth estimation and visual odometry for sparse light field cameras
ST Digumarti, J Daniel, A Ravendran, R Griffiths, DG Dansereau
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
32021
J. d. R. Millán, and D. Roggen,“The Opportunity challenge,”
R Chavarriaga, H Sagha, A Calatroni, ST Digumarti, G Tröster
Pattern Recognition Letters 34 (15), 2033-2042, 2013
32013
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
22022
Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking
D Ren, X Ren, X Wang, ST Digumarti, G Shi
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021
22021
Semantic Segmentation and Mapping for Natural Environments
ST Digumarti
ETH Zurich, 2019
12019
3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation
Y Tao, M Popović, Y Wang, ST Digumarti, N Chebrolu, M Fallon
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
2022
Strategies for large scale elastic and semantic LiDAR reconstruction
Y Wang, M Ramezani, M Mattamala, ST Digumarti, M Fallon
Robotics and Autonomous Systems 155, 104185, 2022
2022
Data Materialities Art Gallery: Introduction and Gallery
J Brucker-Cohen, T Bech, A Rowe, G Bushell, L Birtles, C Bennewith, ...
Leonardo 49 (4), 352-374, 2016
2016
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