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Found 6 papers, 0 papers with code
The Oxford Spires Dataset: Benchmarking Large-Scale LiDAR-Visual Localisation, Reconstruction and Radiance Field Methods
Our evaluation demonstrates a key limitation of state-of-the-art radiance field methods: we show that they tend to overfit to the training poses/images and do not generalise well to out-of-sequence poses.
Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations
This paper presents and evaluates a global visual localization system capable of localizing a single camera image across various 3D map representations built using both visual and lidar sensing.
Exosense: A Vision-Based Scene Understanding System For Exoskeletons
In this work, we present Exosense, a vision-centric scene understanding system for self-balancing exoskeletons.
Language-EXtended Indoor SLAM (LEXIS): A Versatile System for Real-time Visual Scene Understanding
We use this representation for flexible room classification and segmentation, serving as a basis for room-centric place recognition.
Multi-Camera LiDAR Inertial Extension to the Newer College Dataset
We present a multi-camera LiDAR inertial dataset of 4. 5 km walking distance as an expansion of the Newer College Dataset.
Balancing the Budget: Feature Selection and Tracking for Multi-Camera Visual-Inertial Odometry
We present a multi-camera visual-inertial odometry system based on factor graph optimization which estimates motion by using all cameras simultaneously while retaining a fixed overall feature budget.
