Brno Urban Dataset: Winter Extention

TL;DR

The Brno Urban Dataset has been extended with winter conditions, additional sensors, and thermal image annotations, providing a comprehensive resource for autonomous driving research in snow-covered environments.

Contribution

This work introduces a winter extension of the Brno Urban Dataset with new sensor data and thermal image annotations, enhancing its utility for autonomous driving research.

Findings

Largest source of machine-annotated thermal images

Includes winter conditions and additional sensors

Provides YOLO detection annotations for all images

Abstract

Research on autonomous driving is advancing dramatically and requires new data and techniques to progress even further. To reflect this pressure, we present an extension of our recent work - the Brno Urban Dataset (BUD). The new data focus on winter conditions in various snow-covered environments and feature additional LiDAR and radar sensors for object detection in front of the vehicle. The improvement affects the old data as well. We provide YOLO detection annotations for all old RGB images in the dataset. The detections are further also transferred by our original algorithm into the infra-red (IR) images, captured by the thermal camera. To our best knowledge, it makes this dataset the largest source of machine-annotated thermal images currently available. The dataset is published under MIT license on https://github.com/Robotics-BUT/Brno-Urban-Dataset.