Real-Time Stereo Visual Odometry Based on an Improved KLT Method
Real-time stereo visual odometry (SVO) localization is a challenging problem, especially for a mobile platform without parallel computing capability. A possible solution is to reduce the computational complexity of SVO using a Kanade–Lucas–Tomasi (KLT) feature tracker. However, the standard KLT is s...
Main Authors: | , , |
---|---|
格式: | 文件 |
语言: | English |
出版: |
MDPI AG
2022-11-01
|
丛编: | Applied Sciences |
主题: | |
在线阅读: | https://www.mdpi.com/2076-3417/12/23/12124 |