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Prashant Ganesh

3 accepted papers

2024

Pose Graph Optimization over Planar Unit Dual Quaternions: Improved Accuracy with Provably Convergent Riemannian Optimization

IROS 2024poster

It is common in pose graph optimization (PGO) algorithms to assume that noise in the translations and rotations of relative pose measurements is uncorrelated. However, existing work shows that in practice these measurements can be highly correlated, which leads to degradation in the accuracy of PGO…

Cited by 0SourceScholar
2023

Incremental Cycle Bases for Cycle-Based Pose Graph Optimization

RA-L 2023

Pose graph optimization is a special case of the simultaneous localization and mapping problem where the only variables to be estimated are pose variables and the only measurements are inter-pose constraints. The vast majority of pose graph optimization techniques are vertex based (variables are rob

Cited by 4SourceScholar
2022

Information-Aware Guidance for Magnetic Anomaly based Navigation

IROS 2022poster

In the absence of an absolute positioning system, such as GPS, autonomous vehicles are subject to accumu-lation of positional error which can interfere with reliable performance. Improved navigational accuracy without GPS enables vehicles to achieve a higher degree of autonomy and reliability, both…

Cited by 7SourceScholar