Sundara Tejaswi Digumarti

According to our database, Sundara Tejaswi Digumarti authored at least 16 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

InstaLoc: One-shot Global Lidar Localisation in Indoor Environments through Instance Learning.

Lintong Zhang, Sundara Tejaswi Digumarti, Georgi Tinchev, Maurice F. Fallon

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

2022

Strategies for large scale elastic and semantic LiDAR reconstruction.

Yiduo Wang, Milad Ramezani, Matías Mattamala, Sundara Tejaswi Digumarti, Maurice F. Fallon

Robotics Auton. Syst., 2022

Towards real-time forest inventory using handheld LiDAR.

Alexander Proudman, Milad Ramezani, Sundara Tejaswi Digumarti, Nived Chebrolu, Maurice F. Fallon

Robotics Auton. Syst., 2022

3D Lidar Reconstruction with Probabilistic Depth Completion for Robotic Navigation.

Yifu Tao, Marija Popovic, Yiduo Wang, Sundara Tejaswi Digumarti, Nived Chebrolu, Maurice F. Fallon

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

2021

Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras.

Sundara Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran, Donald G. Dansereau

CoRR, 2021

Fast-Learning Grasping and Pre-Grasping via Clutter Quantization and Q-map Masking.

Dafa Ren, Xiaoqiang Ren, Xiaofan Wang, Sundara Tejaswi Digumarti, Guodong Shi

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Unsupervised Learning of Depth Estimation and Visual Odometry for Sparse Light Field Cameras.

Sundara Tejaswi Digumarti, Joseph Daniel, Ahalya Ravendran, Ryan Griffiths, Donald G. Dansereau

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2019

Semantic Segmentation and Mapping for Natural Environments.

Sundara Tejaswi Digumarti

PhD thesis, 2019

An Approach for Semantic Segmentation of Tree-like Vegetation.

Sundara Tejaswi Digumarti, Lukas Maximilian Schmid, Giuseppe Maria Rizzi, Juan I. Nieto, Roland Siegwart, Paul A. Beardsley, Cesar Cadena

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Automatic Segmentation of Tree Structure From Point Cloud Data.

Sundara Tejaswi Digumarti, Juan I. Nieto, Cesar Cadena, Roland Siegwart, Paul A. Beardsley

IEEE Robotics Autom. Lett., 2018

2016

Underwater 3D capture using a low-cost commercial depth camera.

Sundara Tejaswi Digumarti, Gaurav Chaurasia, Aparna Taneja, Roland Siegwart, Amber Thomas, Paul A. Beardsley

Proceedings of the 2016 IEEE Winter Conference on Applications of Computer Vision, 2016

Pixelbots 2014.

Sundara Tejaswi Digumarti, Javier Alonso-Mora, Roland Siegwart, Paul A. Beardsley

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2016

2015

Rendezvous with bearing-only information and limited sensing range.

Maximilian Kriegleder, Sundara Tejaswi Digumarti, Raymond Oung, Raffaello D'Andrea

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2013

The Opportunity challenge: A benchmark database for on-body sensor-based activity recognition.

Ricardo Chavarriaga, Hesam Sagha, Alberto Calatroni, Sundara Tejaswi Digumarti, Gerhard Tröster, José del R. Millán, Daniel Roggen

Pattern Recognit. Lett., 2013

Design and Implementation of a Smart Wheelchair.

Amit Ranjan Trivedi, Abhash Kumar Singh, Sundara Tejaswi Digumarti, Deepak Fulwani, Swagat Kumar

Proceedings of the Advances In Robotics 2013, 2013

2011

Benchmarking classification techniques using the Opportunity human activity dataset.

Hesam Sagha, Sundara Tejaswi Digumarti, José del R. Millán, Ricardo Chavarriaga, Alberto Calatroni, Daniel Roggen, Gerhard Tröster

Proceedings of the IEEE International Conference on Systems, 2011