Topo-boundary is a new benchmark dataset for offline topological road-boundary detection. The dataset contains 21,556 4-channel aerial images of size 1000 X 1000. Each image comes with 8 training annotations for different subtasks.

Citation

@ARTICLE{9488209,
author={Xu, Zhenhua and Sun, Yuxiang and Liu, Ming},
journal={IEEE Robotics and Automation Letters},
title={Topo-Boundary: A Benchmark Dataset on Topological Road-Boundary Detection Using Aerial Images for Autonomous Driving},
year={2021},
volume={6},
number={4},
pages={7248-7255},
doi={10.1109/LRA.2021.3097512}}
@article{xu2021icurb,
title={iCurb: Imitation Learning-Based Detection of Road Curbs Using Aerial Images for Autonomous Driving},
author={Xu, Zhenhua and Sun, Yuxiang and Liu, Ming},
journal={IEEE Robotics and Automation Letters},
volume={6},
number={2},
pages={1097--1104},
year={2021},
publisher={IEEE}
}