Puneet S. Chhabra
SPIE Involvement:
Author
Area of Expertise:
Low-level vision: segmentation and image processing , 3D point-cloud (management, analysis and processing) , Uncertainty modelling and Bayesian Inference , LiDAR/Ladar Signal Processing , Video Analytics (past work at BAE Systems) , Autonomous Systems and Robotics
Websites:
Profile Summary

Puneet Chhabra was born Kanpur, India in 1985. He has a Bachelor of Science in AI and Robotics from MIIT, India in 2006 and an Erasmus Mundus Joint MS in Computer Vision and Robotics from Heriot-Watt University, UK, University of Girona, Spain and University of Burgundy, France in 2009.
He then joined BAE Systems, UK as a research Scientist in 2009 and left BAE Systems as a Higher Scientist in 2013. His area of research is in signal processing, uncertainty modelling, Bayesian inference and LiDAR applications to remote sensing and Defence applications. He is a joint PhD Candidate (Expecting 2017) with University Defence Research Collaboration (UDRC) under Heriot-Watt University and University of Edinburgh.
Mr. Chhabra is a student member of SPIE. While at BAE Systems he has received an Innovation award for his work on ‘Terrain Perception and roll-over safety’ and holds a patent in ‘Video Change Detection’ applied to images captured from a moving platform.
Publications (2)

Proceedings Article | 14 May 2018 Presentation
Aurora Maccarone, Aongus McCarthy, Abderrahim Halimi, Julian Tachella, Puneet Chhabra, Yoann Altmann, Andrew Wallace, Stephen MaLaughlin, Yvan Petillot, Gerald Buller
Proceedings Volume 10659, 106590R (2018) https://doi.org/10.1117/12.2304937
KEYWORDS: Underwater imaging, Image restoration, Scattering, Transceivers, Fiber coupled lasers, Silicon, Semiconductor lasers, Ocean optics, Algorithm development, Target acquisition

Proceedings Article | 19 May 2015 Paper
Puneet Chhabra, Andrew Wallace, James Hopgood
Proceedings Volume 9465, 946508 (2015) https://doi.org/10.1117/12.2176060
KEYWORDS: LIDAR, Associative arrays, Sensors, Data modeling, Vegetation, Chemical species, Modeling, 3D modeling, Photons, Detection and tracking algorithms

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