---
task_categories:
- robotics
---

# 360DVO Dataset

This is the official dataset from the paper [360DVO: Deep Visual Odometry for Monocular 360-Degree Camera](https://huggingface.co/papers/2601.02309), which is published on IEEE Robotics and Automation Letters (RA-L) 2026.

[Project Page](https://chris1004336379.github.io/360DVO-homepage) | [Paper](https://huggingface.co/papers/2601.02309) | [Code](https://github.com/chris1004336379/360DVO)

360DVO is a deep learning-based omnidirectional visual odometry (OVO) framework. It introduces a distortion-aware spherical feature extractor (DAS-Feat) and an omnidirectional differentiable bundle adjustment (ODBA) module. This repository provides the real-world OVO benchmark introduced in the study to facilitate evaluation in realistic settings.