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publications

Constrained Gaussian Mixture Models Based Scan Matching Method

Published in Australasian Conference on Robotics and Automation, ACRA, 2018

This paper presents a Gaussian mixture model (GMM) based robust scan matching method which implements GMM to represent 2D scan points and improves the accuracy of scan matching.

Recommended citation: Zhao, J. (2018, January). Constrained Gaussian mixture models based scan matching method. In Australasian Conference on Robotics and Automation, ACRA. Read paper

2D laser SLAM with general features represented by implicit functions

Published in IEEE Robotics and Automation Letters, 2020

This paper formulates the SLAM problem with implicit functions as features, with rigorously computed observation covariance matrix to be used in the SLAM objective function and proposes a solution framework.

Recommended citation: J. Zhao, "2D Laser SLAM With General Features Represented by Implicit Functions," in IEEE Robotics and Automation Letters, vol. 5, no. 3, pp. 4329-4336, July 2020, doi: 10.1109/LRA.2020.2996795. Read paper

2D Laser SLAM with Closed Shape Features: Fourier Series Parameterization and Submap Joining

Published in IEEE Robotics and Automation Letters, 2021

The main contribution of this paper is a 2D laser SLAM approach with Fourier series based feature parameterization and submap joining.

Recommended citation: J. Zhao, "2D Laser SLAM With Closed Shape Features: Fourier Series Parameterization and Submap Joining," in IEEE Robotics and Automation Letters, vol. 6, no. 2, pp. 1527-1534, April 2021, doi: 10.1109/LRA.2021.3058065. Read paper

talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.