Reactive Visual Odometry Scheduling Based on Noise Analysis using an Adaptive Extended Kalman Filter

Research output: Contribution to conference › Conference Paper › peer-review

Funding Information:
This research is part of PhD opportunity funded by CGI IT UK Ltd.

Publisher Copyright:
© 2021, IEEE. All rights reserved.

Access to Document

Slip-aware localisation for wheeled vehicles
Malinowski, M. T. (Author), Richards, A. G. (Supervisor), Richardson, T. S. (Supervisor) & Woods, M. (Supervisor), 6 Dec 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy (PhD)

File

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title = "Reactive Visual Odometry Scheduling Based on Noise Analysis using an Adaptive Extended Kalman Filter",

author = "Malinowski, \{Mateusz T\} and Richards, \{Arthur G\} and Mark Woods",

year = "2021",

month = dec,

day = "16",

doi = "10.1109/IROS51168.2021.9636214",

language = "English",

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T1 - Reactive Visual Odometry Scheduling Based on Noise Analysis using an Adaptive Extended Kalman Filter

AU - Malinowski, Mateusz T

AU - Richards, Arthur G

AU - Woods, Mark

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Y1 - 2021/12/16

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DO - 10.1109/IROS51168.2021.9636214

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