Search Results for author:
Found 2 papers, 1 papers with code
Struct-MDC: Mesh-Refined Unsupervised Depth Completion Leveraging Structural Regularities from Visual SLAM
To solve this sparsity problem, depth completion tasks that estimate a dense depth from a sparse depth have gained significant importance in robotic applications like exploration.
Ranked #1 on
Depth Completion
on VOID-150
Avoiding Degeneracy for Monocular Visual SLAM with Point and Line Features
In this paper, a degeneracy avoidance method for a point and line based visual SLAM algorithm is proposed.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
