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Pages

Fast gaussian process occupancy maps

Published in ICARCV2018, 2009

This paper is about the number 1. The number 2 is left for future work.

Recommended citation: Yuan, Y., Kuang, H., & Schwertfeger, S. (2018, November). Fast Gaussian Process Occupancy Maps. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) (pp. 1502-1507). IEEE. https://arxiv.org/abs/1811.10156.pdf

Posts

Flipper Planning for Rescue Robots

less than 1 minute read

Published:

This project consists of initial flipper planning idea (SSRR2019) and flipper planning on 3D terrains.

Randomized Sketches for Deep Kernel Learning

less than 1 minute read

Published:

In this project, randomized sketches has been applied on kernel ridge regression for stochastic learning of DNN feature extractor.

Incrementally Building Topological Graphs via Distans Maps

less than 1 minute read

Published:

Incremental Topo

Yuan, Y. & Schwertfeger, S. (2019). Incrementally building topology graphs via distance maps. In 2019 IEEE International Conference on Real-time Computing and Robotics (RCAR). IEEE.

Fast Gaussian Processes Occupancy Maps

less than 1 minute read

Published:

Fast GPOM

Yuan, Y., Kuang, H. & Schwertfeger, S. (2018). Fast Gaussian Process Occupancy Maps. In 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV)
(pp. 1502–1507). IEEE.

Area Graph

less than 1 minute read

Published:

This project consists of area graph (ICAR 2019), passage graph and hierarchical area graph (My bachelor thesis).

Crowd Counting with DNN

less than 1 minute read

Published:

This is my second project about DNN. In this project manage to order people label a crowd counting dataset and get very familiar to tensorflow.

portfolio

publications

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.