1 citations · 2 across the 12 of their papers we have counts for
12 papers
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…
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…
A BP Method for Track-Before-Detect
Mingchao Liang, Thomas Kropfreiter, Florian Meyer
Tracking an unknown number of low-observable objects is notoriously challenging. This letter proposes a sequential Bayesian estimation method based on the track-before-detect (TBD)…
Neural Enhanced Belief Propagation for Multiobject Tracking
Mingchao Liang, Florian Meyer
Algorithmic solutions for multi-object tracking (MOT) are a key enabler for applications in autonomous navigation and applied ocean sciences. State-of-the-art MOT methods fully rel…
Data Fusion for Radio Frequency SLAM with Robust Sampling
Erik Leitinger, Bryan Teague, Wenyu Zhang +2
Precise indoor localization remains a challenging problem for a variety of essential applications. A promising approach to address this problem is to exchange radio signals between…
Neural Enhanced Belief Propagation for Data Association in Multiobject Tracking
Mingchao Liang, Florian Meyer
Situation-aware technologies enabled by multiobject tracking (MOT) methods will create new services and applications in fields such as autonomous navigation and applied ocean scien…
Neural Enhanced Belief Propagation for Cooperative Localization
Mingchao Liang, Florian Meyer
Location-aware networks will introduce innovative services and applications for modern convenience, applied ocean sciences, and public safety. In this paper, we establish a hybrid…