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Ranjith Unnikrishnan
PhD Student
No longer a member of RI.
For more information, see my personal homepage.
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Research interests |
Keywords |
Additional Interests and Responsibilities |
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Publications
My interests are in the broad area of scene understanding, particularly the problems of object detection and terrain classification from 3-D and image data.
My current research concerns spatially consistent classification of off-road terrain to better inform planning algorithms for navigation, as well as more fundamental questions about scale theory in non-uniformly sampled data. In the past, I've worked on a diverse set of problems ranging from mosaic-based localization, mapping and model-building, to multiple-object detection from image and range data, to ancillary technologies like performance metrics for vision algorithms and development of new flexible calibration techniques.
| Research interest keywords |
3-D perception, computer vision, machine learning, mobile robots, object recognition, range data, sensor fusion, and statistics
| Additional Interests and Responsibilities |
I help to maintain machines, and manage disk space and partition allocations in the Vision & Mobile Robotics lab.
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MARS2020 - This project seeks to develop softwares needed to program autonomous
mobile robots in partially known, changing, and unpredictable environments.
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- Multi-Scale Interest Regions from Unorganized Point Clouds
R. Unnikrishnan and M. Hebert
Workshop on Search in 3D (S3D), IEEE Conf. on Computer Vision and Pattern Recognition (CVPR), June, 2008.
[Abstract]
Download: pdf [2615 KB] copyrighted
- Statistical Approaches to Multi-Scale Point Cloud Processing
R. Unnikrishnan
doctoral dissertation, tech. report CMU-RI-TR-08-15, Robotics Institute, Carnegie Mellon University, May, 2008.
[Abstract]
Download: pdf [8214 KB] copyrighted
- Denoising Manifold and Non-Manifold Point Clouds
R. Unnikrishnan and M. Hebert
18th British Machine Vision Conference (BMVC), September, 2007.
[Abstract]
Download: pdf [624 KB] copyrighted
- Toward Objective Evaluation of Image Segmentation Algorithms
R. Unnikrishnan, C. Pantofaru, and M. Hebert
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 29, No. 6, June, 2007, pp. 929-944.
[Abstract]
Download: pdf [2770 KB] copyrighted
- Vegetation Detection for Driving in Complex Environments
D. Bradley, R. Unnikrishnan, and J. Bagnell
IEEE International Conference on Robotics and Automation, April, 2007.
[Abstract]
Download: pdf [1694 KB] copyrighted
- Extracting Scale and Illuminant Invariant Regions Through Color
R. Unnikrishnan and M. Hebert
17th British Machine Vision Conference, September, 2006.
[Abstract]
Download: pdf [1577 KB] copyrighted
- Scale Selection for the Analysis of Point Sampled Curves: Extended Report
R. Unnikrishnan, J. Lalonde, N. Vandapel, and M. Hebert
tech. report CMU-RI-TR-06-25, Robotics Institute, Carnegie Mellon University, June, 2006.
[Abstract]
Download: pdf [809 KB] copyrighted
- Scale Selection for the Analysis of Point-Sampled Curves
R. Unnikrishnan, J. Lalonde, N. Vandapel, and M. Hebert
Third International Symposium on 3D Processing, Visualization and Transmission (3DPVT 2006), June, 2006.
[Abstract]
Download: pdf [617 KB] copyrighted
- Fast Extrinsic Calibration of a Laser Rangefinder to a Camera
R. Unnikrishnan and M. Hebert
tech. report CMU-RI-TR-05-09, Robotics Institute, Carnegie Mellon University, July, 2005.
[Abstract]
Download: pdf [1416 KB] copyrighted
- A Measure for Objective Evaluation of Image Segmentation Algorithms
R. Unnikrishnan, C. Pantofaru, and M. Hebert
Proceedings of the 2005 IEEE Conference on Computer Vision and Pattern Recognition (CVPR '05), Workshop on Empirical Evaluation Methods in Computer Vision, Vol. 3, June, 2005, pp. 34 - 41.
[Abstract]
Download: pdf [897 KB] copyrighted
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