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pro vyhledávání: '"Chung, Jiseong"'
We propose a novel approach to Graduated Non-Convexity (GNC) and demonstrate its efficacy through its application in robust pose graph optimization, a key component in SLAM backends. Traditional GNC methods often rely on heuristic methods for GNC sch
Externí odkaz:
http://arxiv.org/abs/2310.06765
We present a novel approach to robust pose graph optimization based on Graduated Non-Convexity (GNC). Unlike traditional GNC-based methods, the proposed approach employs an adaptive shape function using B-spline to optimize the shape of the robust ke
Externí odkaz:
http://arxiv.org/abs/2308.11444