Search Results for author:
Found 4 papers, 2 papers with code
Exploring Social Motion Latent Space and Human Awareness for Effective Robot Navigation in Crowded Environments
This work proposes a novel approach to social robot navigation by learning to generate robot controls from a social motion latent space.
RoRD: Rotation-Robust Descriptors and Orthographic Views for Local Feature Matching
The use of local detectors and descriptors in typical computer vision pipelines work well until variations in viewpoint and appearance change become extreme.
Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
In particular, our integration of VPR with SLAM by leveraging the robustness of deep-learned features and our homography-based extreme viewpoint invariance significantly boosts the performance of VPR, feature correspondence, and pose graph submodules of the SLAM pipeline.
Topological Mapping for Manhattan-like Repetitive Environments
At the intermediate level, the map is represented as a Manhattan Graph where the nodes and edges are characterized by Manhattan properties and as a Pose Graph at the lower-most level of detail.
