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Data · dataset · 2022

Lidar point cloud

Listed in ScienceDB

The results of our processing of the SemanticKITTI dataset.

Description

Every seven rows were the data of an obstacle vehicle. In each set of data, the first row was the convex hull extraction result of the obstacle vehicle, and the second row to the sixth row corresponded to the five results of the pose estimation bounding box, and the seventh row was the evaluation index of these pose estimation.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geomatic engineering 68%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.0520012 d agoJSON v1
FieldAssertionExtractorEvidence
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concepts[field].anzsrc:group:4013enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (68%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
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licensesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/rights
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