Data · dataset · 2024
Multi-source Heterogeneous sensor fusion mapping method for UAV
Listed in ScienceDB
The video is the dynamic process of experimental data in the paper, and compared to static images, it can better reflect the changing state of experimental data (such as the representation of critical occupancy state on the map in smoke scenes).
Description
The video consists of a running dataset, mileage calculation method, and the fusion grid map algorithm proposed in this article. Among them, Garden and Smoke scenes from the NTU4DRADLM dataset were used, which includes IMU, LIDAR point cloud (Livox format), imaging radar point cloud (sensor-msgs/PointCloud), thermal imaging, and visible light cameras.
This article uses IMU and point clouds from two radars (with two input sources and different radar configurations).
Read the rest (4 more)
Project
Address: github.com/junzhang2016/NTU4DRadLM . Due to the difference between the point cloud format and the commonly used sensor-msgs/PointCloud2, refer to this open source project to convert the Customs Message to sensor-msgs/PointCloud2. (Simultaneously publish the translated point cloud for visualization).
Project
Address: github.com/jianfee/livox_repub
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.11587 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Social Science
- Inferred from text
- Geomatic engineering 70% · Image 65% · Imaging 75% · Video 75%
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.11587 | 8 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:4013 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (70%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:image | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:imaging | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| concepts[modality].local:modality:video | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |