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...

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Hlavní autoři: Guangzhi Guo, Zuoxiao Dai, Yuanfeng Dai
Médium: Článek
Jazyk:English
Vydáno: MDPI AG 2022-11-01
Edice:Applied Sciences
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On-line přístup:https://www.mdpi.com/2076-3417/12/23/12124