Probablistic Models for Visual Odometry
نویسنده
چکیده
Visual odometry is a process to estimate the position and orientation using information obtained from a camera. We test a popular open source implementation of visual odometry SVO, and use unsupervised learning to evaluate its performance. Keywords—visual odometry, unsupervised learning.
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تاریخ انتشار 2015