| Cognitive maps for mobile robots—an object based approach S Vasudevan, S Gächter, V Nguyen, R Siegwart Robotics and Autonomous Systems 55 (5), 359-371, 2007 | 349 | 2007 |
| Gaussian process modeling of large‐scale terrain S Vasudevan, F Ramos, E Nettleton, H Durrant‐Whyte Journal of Field Robotics 26 (10), 812-840, 2009 | 263 | 2009 |
| Bayesian space conceptualization and place classification for semantic maps in mobile robotics S Vasudevan, R Siegwart Robotics and Autonomous Systems 56 (6), 522-537, 2008 | 144 | 2008 |
| Hybrid elevation maps: 3D surface models for segmentation B Douillard, J Underwood, N Melkumyan, S Singh, S Vasudevan, B Chris, ... International Conference on Robotics and Intelligent Systems (IROS), 1532-1538, 2010 | 89 | 2010 |
| Data fusion with Gaussian processes S Vasudevan | 45 | 2012 |
| Method and system for multiple dataset gaussian process modeling S Vasudevan, FT Ramos, E Nettleton, H Durrant-Whyte US Patent 8,825,456, 2014 | 36 | 2014 |
| Method and system of data modelling S Vasudevan, FT Ramos, E Nettleton, H Durrant-Whyte US Patent 8,768,659, 2014 | 36 | 2014 |
| Non-stationary dependent Gaussian processes for data fusion in large-scale terrain modeling S Vasudevan, F Ramos, E Nettleton, H Durrant-Whyte 2011 IEEE International Conference on Robotics and Automation, 1875-1882, 2011 | 33 | 2011 |
| Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling S Vasudevan, F Ramos, E Nettleton, H Durrant-Whyte 2010 IEEE International Conference on Robotics and Automation, 3452-3459, 2010 | 31 | 2010 |
| Evaluation of the sift object recognition method in mobile robots A Ramisa, S Vasudevan, D Aldavert, R Toledo, R Lopez de Mantaras Artificial Intelligence Research and Development, 9-18, 2009 | 28 | 2009 |
| A tale of two object recognition methods for mobile robots A Ramisa, S Vasudevan, D Scaramuzza, R López de Mántaras, ... Computer Vision Systems: 6th International Conference, ICVS 2008 Santorini …, 2008 | 28 | 2008 |
| Towards a cognitive probabilistic representation of space for mobile robots S Vasudevan, V Nguyen, R Siegwart 2006 IEEE International Conference on Information Acquisition, 353-359, 2006 | 25 | 2006 |
| Large-scale terrain modeling from multiple sensors with dependent Gaussian processes S Vasudevan, F Ramos, E Nettleton, H Durrant-Whyte 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2010 | 18 | 2010 |
| A bayesian conceptualization of space for mobile robots S Vasudevan, R Siegwart 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007 | 17 | 2007 |
| Cognitive Spatial Representations for Mobile Robots: Perspectives from a User Study S Vasudevan, S Gächter, R Siegwart Proc. of The IEEE International Conference on Robotics and Automation (ICRA …, 2007 | 17 | 2007 |
| Towards a multilevel cognitive probabilistic representation of space A Tapus, S Vasudevan, R Siegwart Human Vision and Electronic Imaging X 5666, 39-48, 2005 | 17 | 2005 |
| Forecasting demand across groups of skills S Vasudevan, M Singh, J Mondal, M Peran, B Zweig, B Johnston, ... US Patent App. 15/848,147, 2019 | 16 | 2019 |
| Evaluation of three vision based object perception methods for a mobile robot A Ramisa, D Aldavert, S Vasudevan, R Toledo, R Lopez de Mantaras Journal of Intelligent & Robotic Systems 68, 185-208, 2012 | 16 | 2012 |
| Recommending exemplars of an unlabeled data-set S Vasudevan, J Mondal, M PERAN, MW Ticknor, D AUGENSTERN US Patent 10,838,968, 2020 | 10 | 2020 |
| Mutual information based learning rate decay for stochastic gradient descent training of deep neural networks S Vasudevan Entropy 22 (5), 560, 2020 | 10 | 2020 |
