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OdoViz is a reactive web-based tool for 3D visualization and processing ofautonomous vehicle datasets designed to support common tasks in visual placerecognition research. The system includes functionality for loading,inspecting, visualizing, and processing GPS/INS poses, point clouds and cameraimages. It supports a number of commonly used driving datasets and can beadapted to load custom datasets with minimal effort. OdoViz's design consistsof a slim server to serve the datasets coupled with a rich client frontend.This design supports multiple deployment configurations including single userstand-alone installations, research group installations serving datasetsinternally across a lab, or publicly accessible web-frontends for providingonline interfaces for exploring and interacting with datasets. The tool allowsviewing complete vehicle trajectories traversed at multiple different timeperiods simultaneously, facilitating tasks such as sub-sampling, comparing andfinding pose correspondences both across and within sequences. Thissignificantly reduces the effort required in creating subsets of data fromexisting datasets for machine learning tasks. Further to the above, the systemalso supports adding custom extensions and plugins to extend the capabilitiesof the software for other potential data management, visualization andprocessing tasks. The platform has been open-sourced to promote its use andencourage further contributions from the research community.

OdoViz: A 3D Odometry Visualization and Processing Tool