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Data · dataset · 2022

Detections for tracking and lane-level map generation with roadside LiDAR

Listed in ScienceDB

The dataset includes the detection reulsts for tracking with roadside LiDAR.

Description

You can run "python ShowResults.py" to show the demo.The results currently include 4 locations:angangxilu (intersection), xincun (intersection), yananstreet(road segment), and yatai (road segment). We will continue to supplement more data in future.

In addition, "FilteredPointCloudsForVeloviewFormat" folder contains filtered point clouds containing only vehicle and roaduser points. You can cluster them for yourself approches.Furthermore, "maps" directory includes the lane marking information of each site, "CreateMapImage.py" is the demo to show them."DuplicateObjectIndex" directory includes information about duplicate objets of detection.

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You can fusion duplicate objects to solve the error that the detection algorithm detects an object into multiple objects because of occlusion.

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Provenance · 1 source records, 10 field assertions
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ScienceDB10.57760/sciencedb.0289112 d agoJSON v1
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concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
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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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titlesource · scidb cnconnector:scidb_cn@1.0.0/metadata/dc/title