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PhD Dissertation Proposal by Ramesh Darshana Rathnayake KANATTA GAMAGE | Refining Lidar-driven Depth Perception for Pervasive Spatial Computing

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Refining Lidar-driven Depth Perception for Pervasive Spatial Computing

 

Ramesh Darshana Rathnayake KANATTA GAMAGE

PhD Candidate
School of Computing and Information Systems
Singapore Management University
 

FULL PROFILE

Research Area

Dissertation Committee

Research Advisor

Dissertation Committee Members

External Member

  • Ashwin Ashok, Associate Professor, Department of Computer Science, Georgia State University
 

Date

24 July 2024 (Wednesday)

Time

9:00am – 10:00am

Venue

Meeting Room 5.1, Level 5
School of Computing and Information Systems 1, Singapore Management University, 80 Stamford Road Singapore 178902

Please register by 23 July 2024.

We look forward to seeing you at this research seminar.

 

ABOUT THE TALK

LiDAR provides an accurate means to estimate the depth of the environment for spatial computing. Despite its main drawbacks, such as high power consumption and mutual interference, LiDAR can be leveraged for precise spatial sensing. This thesis presents a LiDAR-based localization approach for robots and humans in dynamic environments, along with an interference mitigation method that works in a decentralized fashion. Moreover, a bistatic configuration for LiDAR is explored as a low-power and interference-free alternative for indoor collaborative environments.

 

ABOUT THE SPEAKER

Darshana Rathnayake is a third-year Ph.D. candidate at the Singapore Management University's School of Computing and Information Systems, where he is pursuing research in the field of Pervasive Sensing and Systems.

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