Mr Yon Hon Ng

Yonhon was born in Penang, Malaysia. He completed his Bachelor of Engineering (with First Class Honours and University Medal) in mechatronic systems from the Australian National University. He is currently a PhD student in the Research School of Engineering, Australian National University.

His current research interests include Bayesian estimator, visual odometry, simultaneous localization and mapping (SLAM), optical flow and radio-based localization. 

Conference papers:
[1] Y. Ng, B. Jiang, C. Yu and H. Li, Non-iterative, fast SE(3) path smoothing, in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Daejeon, South Korea, October 2016
 
[2] Y. Ng, J. Kim, H. Li, Robust Dense Optical Flow with Uncertainty for Monocular Pose-Graph SLAM, in Australasian Conference on Robotics and Automation, Sydney, Australia, December 2017
 
[3] Y. Ng, J. Wei, C. Yu, J. Kim, Measurement-Wise Recursive TDoA-based Localization Using Local Straight Line Approximation, in Australian and New Zealand Control Conference, Gold Coast, Australia, December 2017
 
 
Journal papers: 
[1] Y.Ng, J. Kim, C. Yu, A Degenerated Gaussian Representation for Efficient Bayesian Filtering: Part I - Theory, submitted to IEEE Transactions on Aerospace and Electronic Systems
 
[2] Y.Ng, J. Kim, H. Li, A Degenerated Gaussian Representation for Efficient Bayesian Filtering: Part II - Robust Visual SLAM, submitted to IEEE Transactions on Aerospace and Electronic Systems
 
[3] Y. Ng, J. Wei, C. Yu, J. Kim, A Degenerated Gaussian Representation for Efficient Bayesian Filtering: Part II - TDOA-FDOA Localization, in preparation for IEEE Transactions on Aerospace and Electronic Systems
 
[4] Y. Ng, J. Kim, C. Yu and H. Li, Efficient Path Smoothing for Video Stabilization, in preparation for IEEE Transactions on Cybernetics

He was a reviewer for the following conferences and journals:

  • IEEE International Conference on Robotics and Automation (ICRA), 2018
  • European Control Conference (ECC), 2018
  • Australian and New Zealand Control Conference (ANZCC), 2018
  • Image and Vision Computing, 2017
  • Image and Vision Computing, 2016
  • Information Sciences, 2016

He was also a co-chair of a session at Australian and New Zealand Control Conference (ANZCC), 2017. 

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