ResearchPhD ProjectsProjects of the 1st cohort
Massively collaborative acquisition of dynamic environments

Massively collaborative acquisition of dynamic environments and their transformation into digital maps

Dipl.-Ing. Julia Schachtschneider

Main Supervisor: C. Brenner; Co-Supervisor: M. Sester


Usually, the determination of the position and orientation of platforms uses observations which are obtained relative to an environment. Therefore, the acquisition and provision of a common model of the environment is a fundamental part of state estimation. In turn, the required observations are obtained from a large number of platforms in a collaborative manner. It is thus an essential task to investigate the aggregation of individually (per platform) obtained maps, to a common representation, under consideration of integrity constraints.

A major aspect of this is the consideration of the dynamics of the environment, for example by representing decaying or periodic state transitions by appropriate latent variables. This ensures that conflicting observations, which are due to multitemporal effects, can still be handled consistently. In particular, the effect of discrete decisions will be considered, which are used, for example, during the assignment of observations to the existing map data (data association problem), as well as the representation of the overall map by several alternative models. This topic is directly related to topic 3 (multiscale maps), as well as to alternative integrity measures (topic 1), filtering (topics 2 and 7), collaborative positioning (topics 4 and 6) and the handling of temporal aspects (topic 9).

Dipl.-Ing. Julia Schachtschneider
Address
Institut für Kartographie und Geoinformatik
Appelstraße 9A
30167 Hannover
Building
Room
611
Dipl.-Ing. Julia Schachtschneider
Address
Institut für Kartographie und Geoinformatik
Appelstraße 9A
30167 Hannover
Building
Room
611