Research output per year
Research output per year
Project Details
Description
How can the trustworthiness of automated and autonomous systems (integrity) be ensured so that they do not pose a threat to humans? And how can collaboration between the different sensors of such systems be used to achieve this? The PhD students of the Research Training Group i.c.sens. are researching these problems.
| Acronym | i.c.sens |
|---|---|
| Status | Finished |
| Effective start/end date | 1 Jun 2021 → 30 Nov 2025 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 11 Sustainable Cities and Communities
Funding type
- German Research Foundation (DFG)
Funding scheme
- (International) Research Training Groups
Research output
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Empirical uncertainty evaluation for the pose of a kinematic LiDAR-based multi-sensor system
Ernst, D., Vogel, S., Neumann, I. & Alkhatib, H., 28 Oct 2024, In: Journal of Applied Geodesy. 18, 4, p. 629-642 14 p.Research output: Contribution to journal › Article › Research › peer review
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Monte Carlo variance propagation for the uncertainty modeling of a kinematic LiDAR-based multi-sensor system
Ernst, D., Vogel, S., Alkhatib, H. & Neumann, I., 4 Apr 2024, In: Journal of Applied Geodesy. 18, 2, p. 237-252 16 p.Research output: Contribution to journal › Article › Research › peer review
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Multi-Agent Multi-Sensor Collaboration for Improved Positioning in Urban Environment
Schaper, A. & Schön, S., Sept 2024, 37th International Technical Meeting of the Satellite Division of the Institute of Navigation, ION GNSS+ 2024. p. 2780-2792 13 p.Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
Datasets
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LUCOOP: Leibniz University Cooperative Perception and Urban Navigation Dataset
Axmann, J. (Creator), Moftizadeh, R. (Creator), Su, J. (Creator), Tennstedt, B. (Creator), Zou, Q. (Creator), Yuan, Y. (Creator), Ernst, D. (Creator), Alkhatib, H. (Creator), Brenner, C. (Creator) & Schön, S. (Creator), Forschungsdaten-Repositorium der LUH, 2022
DOI: 10.25835/75o9yrc0, https://data.uni-hannover.de/dataset/a20cf8fa-f692-40b3-9b9b-d2f7c8a1e3fe
Dataset