Sundara Tejaswi Digumarti
Sundara Tejaswi Digumarti
The University of Sydney, Australia
Verified email at sydney.edu.au - 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
3762013
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
892011
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
322016
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
92015
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
92013
Pixelbots 2014
T Digumarti, J Alonso-Mora, R Siegwart, P Beardsley
ACM SIGGRAPH 2016 Art Gallery, 366-367, 2016
72016
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
52018
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
42019
Semantic Segmentation and Mapping for Natural Environments
ST Digumarti
ETH Zurich, 2019
2019
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
SMC 2011 Workshop on robust machine learning techniques for human activity recognition: Activity recognition challenge
H Sagha, ST Digumarti, JR Millán, A Calatroni, D Roggen, G Tröster, ...
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Articles 1–11