8 papers
Probabilistic Occupancy Grid for Radio-Based SLAM
Xuhong Li, Erik Leitinger, Fredrik Tufvesson +1
Sensing is an integral part of 6G and beyond systems, providing exceptional environmental perception along with communication. Radio frequency (RF)-based sensing often relies on si…
Adaptive Multipath-Based SLAM for Distributed MIMO Systems
Xuhong Li, Benjamin J. B. Deutschmann, Erik Leitinger +1
Localizing users and mapping the environment using radio signals is a key task in emerging applications such as low-latency communications and safety-critical navigation. Recently…
Bayesian Multiobject Tracking With Neural-Enhanced Motion and Measurement Models
Shaoxiu Wei, Mingchao Liang, Florian Meyer
Multiobject tracking (MOT) is an important task in applications including autonomous driving, ocean sciences, and aerospace surveillance. Traditional MOT methods are model-based an…
Posterior Cramér-Rao Bounds on Localization and Mapping Errors in Distributed MIMO SLAM
Benjamin J. B. Deutschmann, Xuhong Li, Florian Meyer +1
Radio-frequency simultaneous localization and mapping (RF-SLAM) methods jointly infer the position of mobile transmitters and receivers in wireless networks, together with a geomet…
Message Passing for Track-Before-Detect
Mingchao Liang, Florian Meyer
Accurately tracking an unknown and time-varying number of objects in complex environments is a significant challenge but a fundamental capability in a variety of applications, incl…
An Approach of Directly Tracking Multiple Objects
Mingchao Liang, Florian Meyer
In conventional approaches for multiobject tracking (MOT), raw sensor data undergoes several preprocessing stages to reduce data rate and computational complexity. This typically i…