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Provably Guaranteed Polytopic Uncertainty Quantification for SLAM
Guangyang Zeng, Yulong Gao, Yuan Shen +4
In safety-critical robotics applications, guaranteed and practical uncertainty quantification (UQ) in perception is vital. Many existing works either offer no formal containment gu…
Bias-Eliminated PnP for Stereo Visual Odometry: Provably Consistent and Large-Scale Localization
Guangyang Zeng, Yuan Shen, Ziyang Hong +4
In this paper, we first present a bias-eliminated weighted (Bias-Eli-W) perspective-n-point (PnP) estimator for stereo visual odometry (VO) with provable consistency. Specifically,…
Optimal camera-robot pose estimation in linear time from points and lines
Guangyang Zeng, Biqiang Mu, Qingcheng Zeng +4
Camera pose estimation is a fundamental problem in robotics. This paper focuses on two issues of interest: First, point and line features have complementary advantages, and it is o…