Comparison of feature detection and outlier removal strategies in a mono visual odometry algorithm for underwater navigation

Title
Comparison of feature detection and outlier removal strategies in a mono visual odometry algorithm for underwater navigation
Authors
Keywords
Autonomous underwater vehicles, Visual odometry, Marine robotics, Navigation strategies
Journal
APPLIED OCEAN RESEARCH
Volume 118, Issue -, Pages 102961
Publisher
Elsevier BV
Online
2021-12-06
DOI
10.1016/j.apor.2021.102961

Ask authors/readers for more resources

Reprint

Contact the author

Find the ideal target journal for your manuscript

Explore over 38,000 international journals covering a vast array of academic fields.

Search

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started