@inproceedings{97eecb62f1a14bee82fe90f9667846db,
title = "An analysis of regression models for predicting the speed of a wave glider autonomous surface vehicle",
abstract = "An important aspect of robotic path planning for is ensuring that the vehicle is in the best location to collect the data necessary for the problem at hand. Given that features of in- terest are dynamic and move with oceanic cur- rents, vehicle speed is an important factor in any planning exercises to ensure vehicles are at the right place at the right time. Here, we examine different Gaussian process models to find a suitable predictive kinematic model that enable the speed of an underactuated, au- tonomous surface vehicle to be accurately pre- dicted given a set of input environmental pa-rameters.",
author = "Phillip Ngo and Wesam Al-Sabban and Jesse Thomas and Will Anderson and Jnashewar Das and Smith, {Ryan N.}",
year = "2013",
language = "English (US)",
series = "Australasian Conference on Robotics and Automation, ACRA",
publisher = "Australasian Robotics and Automation Association",
booktitle = "Australasian Conference on Robotics and Automation, ACRA",
note = "2013 Australasian Conference on Robotics and Automation, ACRA 2013 ; Conference date: 02-12-2013 Through 04-12-2013",
}