Fast and Robust $ell_1$-averaging-based Pose Estimation for Driving Scenarios

Abstract

Robust visual pose estimation is at the core of many computer vision applications, being fundamental for Visual SLAM and Visual Odometry problems. During the last decades, many approaches have been proposed to solve these problems, being RANSAC one of the most accepted and used. However, with the arrival of new challenges, such as large driving scenarios… (More)
DOI: 10.5244/C.27.86

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