Add paper link, project page and task category (#3)

- Add paper link, project page and task category (0e8f3cd518d8c56453c1769d1edb821a232129f6)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

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-This is the official dataset from paper "360DVO: Deep Visual Odometry for Monocular 360-Degree Camera“, which is published on IEEE Robotics and Automation Letters (RA-L) 2026.
+---
+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.