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...
| Hoofdauteurs: | , , |
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| Formaat: | Artikel |
| Taal: | English |
| Gepubliceerd in: |
MDPI AG
2022-11-01
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| Reeks: | Applied Sciences |
| Onderwerpen: | |
| Online toegang: | https://www.mdpi.com/2076-3417/12/23/12124 |