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Juha Hyyppä

2 accepted papers

2022

Towards High-Definition Maps: a Framework Leveraging Semantic Segmentation to Improve NDT Map Compression and Descriptivity

IROS 2022poster

High-Definition (HD) maps are needed for robust navigation of autonomous vehicles, limited by the on-board storage capacity. To solve this, we propose a novel framework, Environment-Aware Normal Distributions Transform (EA-NDT), that significantly improves compression of standard NDT map representat…

Cited by 5SourceScholar
2020

A Novel Calibration Method between a Camera and a 3D LiDAR with Infrared Images

ICRA 2020poster

Fusions of LiDARs (light detection and ranging) and cameras have been effectively and widely employed in the communities of autonomous vehicles, virtual reality and mobile mapping systems (MMS) for different purposes, such as localization, high definition map or simultaneous location and mapping. Ho…

Cited by 24SourceScholar