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. Pointcloud data was recorded using an RoboSense RS-LIDAR-M1. Image data was recorded using a Hik Vision DS-2CD2T47G2-LSU/SL camera. 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). Project website: https://www.th-luebeck.de/cosa/projekt/dave/
DAVE - Image and Pointcloud data for Fusion
Research Data
Electronic Resource
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Virtual validation of autonomous vehicles in a 3D Pointcloud
British Library Conference Proceedings | 2018
|Online Contents | 2010
METHOD AND DEVICE FOR MANAGING ROAD FACILITIES BASED ON OBJECT RECOGINITION POINTCLOUD FEATURES
European Patent Office | 2023
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