Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents-Reference-Cited by-同舟云学术

Anisotropic GPMP2: A Fast Continuous-Time Gaussian Processes Based Motion Planner for Unmanned Surface Vehicles in Environments With Ocean Currents

Published:2022-10 Issue:4 Volume:19 Page:3914-3931
ISSN:1545-5955
Container-title:IEEE Transactions on Automation Science and Engineering
language:
Short-container-title:IEEE Trans. Automat. Sci. Eng.

Author:

Meng Jiawei¹^ORCID,Liu Yuanchang¹^ORCID,Bucknall Richard¹,Guo Weihong²^ORCID,Ji Ze³^ORCID

Affiliation:

1. Department of Mechanical Engineering, University College London, Torrington Place, London, U.K

2. Department of Industrial and Systems Engineering, Rutgers University, New Brunswick, NJ, USA

3. School of Engineering, Cardiff University, Cardiff, U.K

Funder

Royal Society

University College London (UCL) and Rutgers University through the International Collaborative Research Grant from Rutgers Global at Rutgers, The State University of New Jersey

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/8856/9918179/09674026.pdf?arnumber=9674026

Reference48 articles.

1. 3-D traveltime computation using the fast marching method

2. A method for the solution of certain non-linear problems in least squares

3. Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories

4. Simultaneous Trajectory Estimation and Planning via Probabilistic Inference

5. Continuous-time Gaussian process motion planning via probabilistic inference

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