114 citations · 185 across the 6 of their papers we have counts for
6 papers
Voxel-Based Point Cloud Localization for Smart Spaces Management
F. S. Mortazavi, O. Shkedova, U. Feuerhake +2
This paper proposes a voxel-based approach for creating a digital twin of an urban environment that is capable of efficiently managing smart spaces. The paper explains the registra…
Maximum Consensus Localization using an Objective Function based on Helmert's Point Error
Jeldrik Axmann, Yimin Zhang, Claus Brenner
Ego-localization is a crucial task for autonomous vehicles. On the one hand, it needs to be very accurate, and on the other hand, very robust to provide reliable pose (position and…
Gaussian Process Mapping of Uncertain Building Models with GMM as Prior
Qianqian Zou, Claus Brenner, Monika Sester
Mapping with uncertainty representation is required in many research domains, especially for localization. Although there are many investigations regarding the uncertainty of the p…
Determination of building flood risk maps from LiDAR mobile mapping data
Yu Feng, Qing Xiao, Claus Brenner +4
With increasing urbanization, flooding is a major challenge for many cities today. Based on forecast precipitation, topography, and pipe networks, flood simulations can provide ear…
Flood severity mapping from Volunteered Geographic Information by interpreting water level from images containing people: a case study of Hurricane Harvey
Yu Feng, Claus Brenner, Monika Sester
With increasing urbanization, in recent years there has been a growing interest and need in monitoring and analyzing urban flood events. Social media, as a new data source, can pro…
Scalable Estimation of Precision Maps in a MapReduce Framework
Claus Brenner
This paper presents a large-scale strip adjustment method for LiDAR mobile mapping data, yielding highly precise maps. It uses several concepts to achieve scalability. First, an ef…