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Tim Y. Tang

2 accepted papers

2023

Self-Supervised Lidar Place Recognition in Overhead Imagery Using Unpaired Data

RSS 2023poster

As much as place recognition is crucial for navigation, mapping and collecting training ground truth, namely sensor data pairs across different locations, are costly and time-consuming. This paper tackles these by learning lidar place recognition on public overhead imagery and in a self-supervised…

2021

Get to the Point: Learning Lidar Place Recognition and Metric Localisation Using Overhead Imagery

RSS 2021poster

This paper is about localising a robot in overhead images using lidar. Specifically; we show how to solve both place recognition and metric localisation of a lidar using only publicly available overhead imagery as a map proxy. This is in contrast to current approaches that rely on prior sensor map…

Cited by 29SourcePDFScholar