1 citations · 1 across the 9 of their papers we have counts for
10 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…
Sparse Signal Reconstruction for Track-Before-Detect
Mingchao Liang, Florian Meyer
Accurately tracking an unknown and time-varying number of objects in complex environments is a challenging problem in radar and sonar sensing. The track-before-detect (TkBD) paradi…
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…
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…
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…
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…
A New Architecture for Neural Enhanced Multiobject Tracking
Shaoxiu Wei, Mingchao Liang, Florian Meyer
Multiobject tracking (MOT) is an important task in robotics, autonomous driving, and maritime surveillance. Traditional work on MOT is model-based and aims to establish algorithms…
Direct Multipath-Based SLAM
Mingchao Liang, Erik Leitinger, Florian Meyer
In future wireless networks, the availability of information on the position of mobile agents and the propagation environment can enable new services and increase the throughput an…
Multipath-based SLAM with Cooperation and Map Fusion in MIMO Systems
Erik Leitinger, Lukas Wielandner, Alexander Venus +1
Multipath-based simultaneous localization and mapping (MP-SLAM) is a promising approach in wireless networks for obtaining position information of transmitters and receivers as wel…
A Belief Propagation Approach for Direct Multipath-Based SLAM
Mingchao Liang, Erik Leitinger, Florian Meyer
In this work, we develop a multipath-based simultaneous localization and mapping (SLAM) method that can directly be applied to received radio signals. In existing multipath-based S…