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Oliveira et al., 2023 - Google Patents

Clustering LiDAR Data with K-means and DBSCAN.

Oliveira et al., 2023

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Document ID
4035093200790088341
Author
Oliveira M
Marçal A
Publication year
Publication venue
ICPRAM

External Links

Snippet

Multi-object detection is an essential aspect of autonomous driving systems to guarantee the safety of selfdriving vehicles. In this paper, two clustering methods, DBSCAN and K-means, are used to segment LiDAR data and recognize the objects detected by the sensors. The …
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Classifications

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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00798—Recognition of lanes or road borders, e.g. of lane markings, or recognition of driver's driving pattern in relation to lanes perceived from the vehicle; Analysis of car trajectory relative to detected road
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    • G06K9/00791—Recognising scenes perceived from the perspective of a land vehicle, e.g. recognising lanes, obstacles or traffic signs on road scenes
    • G06K9/00805—Detecting potential obstacles
    • G—PHYSICS
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