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20202026
most citedCAE-LO: LiDAR Odometry Leveraging Fully Unsupervised Convolutional Auto-Encoder for Interest Point Detection and Feature Description

21 citations · 40 across the 8 of their papers we have counts for

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cs.RO2023★ 2 cited

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

Petri Manninen, Heikki Hyyti, Ville Kyrki +3

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, Environmen…