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Yunwen Zhou

2 accepted papers

2022

Learned Monocular Depth Priors in Visual-Inertial Initialization

ECCV 2022poster

"Visual-inertial odometry (VIO) is the pose estimation backbone for most AR/VR and autonomous robotic systems today, in both academia and industry. However, these systems are highly sensitive to the initialization of key parameters such as sensor biases, gravity direction, and metric scale. In pract…

2018

Semantic Mapping with Simultaneous Object Detection and Localization

IROS 2018poster

We present a filtering-based method for semantic mapping to simultaneously detect objects and localize their 6 degree-of-freedom pose. For our method, called Contextual Temporal Mapping (or CT-Map), we represent the semantic map as a belief over object classes and poses across an observed scene. Inf…

Cited by 39SourceScholar