Search Results for author:
Found 5 papers, 2 papers with code
LIP-Loc: LiDAR Image Pretraining for Cross-Modal Localization
We apply this approach to the domains of 2D image and 3D LiDAR points on the task of cross-modal localization.
Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images
To overcome this limitation, we propose a novel representation that captures various traffic participants appearance and occupancy information from an array of monocular cameras covering 360 deg field of view (FOV).
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.
