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Younghun Cho

4 accepted papers

2022

OpenStreetMap-Based LiDAR Global Localization in Urban Environment Without a Prior LiDAR Map

RA-L 2022

Using publicly accessible maps, we propose a novel vehicle localization method that can be applied without using prior light detection and ranging (LiDAR) maps. Our method generates OSM descriptors by calculating the distances to buildings from a location in OpenStreetMap at a regular angle, and LiD

Cited by 58SourceScholar
2022

STheReO: Stereo Thermal Dataset for Research in Odometry and Mapping

IROS 2022poster

This paper introduces a stereo thermal camera dataset (STheReO) with multiple navigation sensors to encourage thermal SLAM researches. A thermal camera measures infrared rays beyond the visible spectrum therefore it could provide a simple yet robust solution to visually degraded environments where e…

Cited by 20SourceScholar
2020

MulRan: Multimodal Range Dataset for Urban Place Recognition

ICRA 2020poster

This paper introduces a multimodal range dataset namely for radio detection and ranging (radar) and light detection and ranging (LiDAR) specifically targeting the urban environment. By extending our workshop paper [1] to a larger scale, this dataset focuses on the range sensor-based place recognitio…

Cited by 327SourceScholar
2019

The Road is Enough! Extrinsic Calibration of Non-overlapping Stereo Camera and LiDAR using Road Information

RA-L 2019

This letter presents a framework for the target-less extrinsic calibration of stereo cameras and light detection and ranging (LiDAR) sensors with a non-overlapping field of view (FOV). In order to solve extrinsic calibration problems under such challenging configurations, the proposed solution explo

Cited by 14SourceScholar