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Heikki Hyyti

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
2015

Detection and species classification of young trees using machine perception for a semi-autonomous forest machine

ICRA 2015poster

An approach to automatically detect and classify young spruce and birch trees in forest environment is presented. The method could be used in autonomous or semi-autonomous forest machines during tending operations. Detection is done by segmenting laser range images formed by a rotating laser scanner…

Cited by 6SourceScholar