Integrity monitoring of GNSS/INS based positioning systems for autonomous vehicles: State-of-the-art and open challenges

H Jing, Y Gao, S Shahbeigi… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Positioning and navigation are critical functions of automated driving functions, which help
autonomous vehicles determine their absolute and relative positions in the environment that …

[HTML][HTML] Digital post-disaster risk management twinning: a review and improved conceptual framework

U Lagap, S Ghaffarian - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Digital Twins (DT) is the real-time virtual representation of systems, communities, cities, or
even human beings with the substantial potential to revolutionize post-disaster risk …

Lucoop: Leibniz university cooperative perception and urban navigation dataset

J Axmann, R Moftizadeh, J Su… - 2023 IEEE Intelligent …, 2023 - ieeexplore.ieee.org
Recently published datasets have been increasingly comprehensive with respect to their
variety of simultaneously used sensors, traffic scenarios, environmental conditions, and …

Geospatial information research: state of the art, case studies and future perspectives

R Bill, J Blankenbach, M Breunig, JH Haunert… - PFG–Journal of …, 2022 - Springer
Geospatial information science (GI science) is concerned with the development and
application of geodetic and information science methods for modeling, acquiring, sharing …

Integrity concept for maritime autonomous surface ships' position sensors

P Zalewski - Sensors, 2020 - mdpi.com
The primary means for electronic position fixing currently in use in majority of contemporary
merchant ships are shipborne GPS (Global Positioning System) receivers or DGPS …

Towards Integrity for GNSS-based urban navigation–challenges and lessons learned

S Schön, KN Baasch, L Icking… - 2022 IEEE Intelligent …, 2022 - ieeexplore.ieee.org
For safety critical applications like autonomous driving, high trust in the reported navigation
solution is mandatory. This trust can be expressed by the navigation performance …

Deterministic approaches for bounding GNSS uncertainty: A comparative analysis

J Su, S Schön - 2022 10th workshop on satellite navigation …, 2022 - ieeexplore.ieee.org
Uncertainty modeling and bounding are of vital importance for high-integrity GNSS
applications. Classical approaches are mostly developed in a stochastic manner with …

A Survey on Cooperative Positioning Using GNSS Measurements

R Jin, G Zhang, LT Hsu, Y Hu - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
With the advancements of communication technologies and the Global Navigation Satellite
Systems (GNSS), research and development in GNSS-based Cooperative Positioning (CP) …

Monte Carlo variance propagation for the uncertainty modeling of a kinematic LiDAR-based multi-sensor system

D Ernst, S Vogel, H Alkhatib… - Journal of Applied …, 2024 - degruyter.com
Kinematic multi-sensor systems (MSS) are widely used for various applications, like mobile
mapping or for autonomous systems. Depending on the application, insufficient knowledge …

Road topology refinement via a multi-conditional generative adversarial network

Y Zhang, X Li, Q Zhang - Sensors, 2019 - mdpi.com
With the rapid development of intelligent transportation, there comes huge demands for high-
precision road network maps. However, due to the complex road spectral performance, it is …