DAVE - Image and Pointcloud data for Fusion
<p>The dataset was collected during a measurement run on the river Trave in Lübeck, Germany. The data consists of two main components: images and pointclouds from a LiDAR sensor.</p> <p>Pointcloud data was recorded using an RoboSense RS-LIDAR-M1.</p> <p>Image data was recorded using a Hik Vision DS-2CD2T47G2-LSU/SL camera.</p> <p> </p> <div> <div> <div> <p>This publication is a result of the research of the Center of Excellence CoSA and funded by the Federal Ministry for Digital and Transport of the Federal Republic of Germany (Id 19F2225C, DAVE).</p> <p> </p> <p>Project website: https://www.th-luebeck.de/cosa/projekt/dave/</p> </div> </div> </div>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0