Estimation of collision priority on traffic videos using deep learning G Madhumitha, R Senthilnathan, KM Ayaz, J Vignesh, K Madhu 2020 IEEE International Conference on Machine Learning and Applied Network …, 2020 | 7 | 2020 |
Estimation of sparse depth based on an inspiration from SFF R Senthilnathan, P Subhasree, R Sivaramakrishnan, P Karthikeyan 2016 International Conference on Recent Trends in Information Technology …, 2016 | 7 | 2016 |
A fuzzy logic-in-loop control for a novel reduced height ballbot prototype J Johnson, R Senthilnathan, M Negi, RG Patel, A Bhattacherjee Procedia computer science 133, 960-967, 2018 | 6 | 2018 |
Vision based orientation invariant measurement of metric screw thread parameters R Senthilnathan, M Nandhini, R Ranjani, S Sridevi 2017 Trends in Industrial Measurement and Automation (TIMA), 1-5, 2017 | 5 | 2017 |
Depth map based reactive planning to aid in navigation for visually challenged R Lakshmanan, R Senthilnathan 2016 IEEE International Conference on Engineering and Technology (ICETECH …, 2016 | 5 | 2016 |
Focus measures for SFF-inspired relative depth estimation R Senthilnathan, R Sivaramakrishnan 2012 International Conference on Machine Vision and Image Processing (MVIP …, 2012 | 5 | 2012 |
A focus-measurement based 3D surface reconstruction system for dimensional metrology SM Vignesh, R Senthilnathan IOP Conference Series: Materials Science and Engineering 1012 (1), 012038, 2021 | 4 | 2021 |
Deep Learning in Vision-Based Automated Inspection: Current State and Future Prospects R Senthilnathan Machine Learning in Industry, 159-175, 2022 | 3 | 2022 |
Dataset and performance metrics towards semantic segmentation TS Rajalakshmi, R Senthilnathan International Journal of Engineering and Management Research 13 (1), 40-49, 2023 | 2 | 2023 |
Simulation of Grasp Localization Inferences for a Dual-Arm Collaborative Robot AJ Hippolitus, R Senthilnathan, O Malla IOP Conference Series: Materials Science and Engineering 1012 (1), 012004, 2021 | 2 | 2021 |
Driveable area detection using semantic segmentation deep neural network P Subhasree, P Karthikeyan, R Senthilnathan Computational Intelligence in Data Science: Third IFIP TC 12 International …, 2020 | 2 | 2020 |
Evaluation of statistical focus measures in a parallax affected SFF-inspired approach CR Srinivas, R Senthilnathan, P Subhasree, R Sivaramakrishnan, ... IJCTA 20 (10), 1-11, 2015 | 2 | 2015 |
An Instantaneous Kinematics Method for Robot Control in Vision Based Sorting Application R Senthilnathan, R Sivaramakrishnan, A Jothilingam, CS Vel Journal of Engineering Research and Studies E-7916, 0 | 2 | |
Dataset and performance metrics towards semantic segmentation R TS, R Senthilnathan Available at SSRN 4352476, 2023 | 1 | 2023 |
A novel flight controller interface for vision-guided autonomous drone R Senthilnathan, N Ahuja, G Vyomkesh Bhargav, D Ahuja, A Bagi Proceedings of the International Conference on ISMAC in Computational Vision …, 2019 | 1 | 2019 |
Performance Analysis of Gradient-Based Focus Measures in a Parallax Affected SFF Scenario R Senthilnathan, P Subhasree, R Sivaramakrishnan International Journal of Computer Aided Manufacturing 1 (2), 1-12, 2016 | 1 | 2016 |
Evaluation of statistical focus measures in a parallax affected SFF-inspired approach CR Srinivasan, R Senthilnathan, P Subhasree, R Sivaramakrishnan, ... International Journal of Control Theory and Applications 8 (3), 847-855, 2015 | 1 | 2015 |
Performance analysis of focus measures in a SFF-inspired approach for sparse scene reconstruction R Senthilnathan, P Subhasree, R Sivaramakrishnan, CR Srinivasan, ... International Journal of Computer Applications in Technology 8 (3), 1153-1160, 2015 | 1 | 2015 |
Quicker Path planning of a collaborative dual-arm robot using Modified BP-RRT* algorithm R Senthilnathan INTERNATIONAL JOURNAL OF COMPUTERS COMMUNICATIONS & CONTROL 19 (3), 2024 | | 2024 |
Reconstruction of Shapes using Machine Vision System Based on Focus Measurement: A Quantitative Analysis of Texture Influence Using 3D Printed Objects SM Vignesh, R Senthilnathan MAPAN 38 (4), 903-911, 2023 | | 2023 |