22 papers
TACO: A Test and Check Framework for Robust Pose Graph Optimization
Emilio Olivastri, Alberto Pretto, Tobias Fischer
Pose Graph Optimization (PGO) is one of the most widely adopted approaches for solving Simultaneous Localization and Mapping (SLAM) problems. However, PGO approaches are particular…
Quantile Transfer for Reliable Operating Point Selection in Visual Place Recognition
Dhyey Manish Rajani, Michael Milford, Tobias Fischer
Visual Place Recognition (VPR) is a key component for localization in Global Navigation Satellite System (GNSS)-denied environments, but its performance critically depends on selec…
DisPlace: Discriminative Place Projections for Multi-Reference Visual Place Recognition
Dhyey Manish Rajani, Michael Milford, Tobias Fischer
A key challenge in Visual Place Recognition (VPR) is matching query images against reference maps captured under diverse environmental conditions and viewpoints. While multiple ref…
Event-Based Visual Teach-and-Repeat via Fast Fourier-Domain Cross-Correlation
Gokul B. Nair, Alejandro Fontan, Michael Milford +1
Visual teach-and-repeat (VT&R) navigation enables robots to autonomously traverse previously demonstrated paths using visual feedback. We present a novel event-camera-based VT\&R s…
EventGeM: Global-to-Local Feature Matching for Event-Based Visual Place Recognition
Adam D. Hines, Gokul B. Nair, Nicolás Marticorena +2
Dynamic vision sensors, also known as event cameras, are rapidly rising in popularity for robotic and computer vision tasks due to their sparse activation and high-temporal resolut…
Automatic Map Density Selection for Locally-Performant Visual Place Recognition
Somayeh Hussaini, Tobias Fischer, Michael Milford
A key challenge in translating Visual Place Recognition (VPR) from the lab to long-term deployment is ensuring a priori that a system can meet user-specified performance requiremen…