Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Benjamin J. McLoughlin"'
Publikováno v:
Drones, Vol 3, Iss 1, p 19 (2019)
In this paper, we present an alternate method for the generation and implementation of the sensor measurement variance used in an Extended Kalman Filter (EKF). Furthermore, it demonstrates the limitations of a conventional EKF implementation and post
Externí odkaz:
https://doaj.org/article/5c400fac09f148faa4f13f07be082316
Autor:
Benjamin J. McLoughlin, Harry A. G. Pointon, John P. McLoughlin, Andy Shaw, Frederic A. Bezombes
Publikováno v:
Sensors, Vol 18, Iss 7, p 2274 (2018)
Recent developments in localisation systems for autonomous robotic technology have been a driving factor in the deployment of robots in a wide variety of environments. Estimating sensor measurement noise is an essential factor when producing uncertai
Externí odkaz:
https://doaj.org/article/5c2e060f3c074d4dbb4bece6c812bc5d
Publikováno v:
Towards Autonomous Robotic Systems ISBN: 9783319967271
TAROS
Towards Autonomous Robotic Systems-19th Annual Conference, TAROS 2018, Bristol, UK July 25-27, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Towards Autonomous Robotic Systems
TAROS
Towards Autonomous Robotic Systems-19th Annual Conference, TAROS 2018, Bristol, UK July 25-27, 2018, Proceedings
Lecture Notes in Computer Science
Lecture Notes in Computer Science-Towards Autonomous Robotic Systems
The work presented in this paper is part of a Horizon 2020 project known as DigiArt, with an aim to deploy an unmanned ground vehicle (UGV) mounted with a 3D scan LiDAR to generate 3D maps of an archaeological subterranean environment. The challenges
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ac2ef075918ae7aa231736fd1a3be0cc
https://doi.org/10.1007/978-3-319-96728-8_35
https://doi.org/10.1007/978-3-319-96728-8_35
Publikováno v:
Drones, Vol 3, Iss 1, p 19 (2019)
Drones
Volume 3
Issue 1
Drones
Volume 3
Issue 1
In this paper, we present an alternate method for the generation and implementation of the sensor measurement variance used in an Extended Kalman Filter (EKF). Furthermore, it demonstrates the limitations of a conventional EKF implementation and post
Autor:
John P. McLoughlin, Benjamin J. McLoughlin, Harry A. G. Pointon, Frederic Bezombes, Andy Shaw
Publikováno v:
Sensors (Basel, Switzerland)
Sensors
Volume 18
Issue 7
Sensors, Vol 18, Iss 7, p 2274 (2018)
Sensors
Volume 18
Issue 7
Sensors, Vol 18, Iss 7, p 2274 (2018)
Recent developments in localisation systems for autonomous robotic technology have been a driving factor in the deployment of robots in a wide variety of environments. Estimating sensor measurement noise is an essential factor when producing uncertai