Yuxuan Xia
Yuxuan Xia was born in Wuhan, China, in 1993. He received the B.Sc. degree in engineering of Internet of Things from Jiangnan University, Wuxi, China, in 2015 and the M.Sc. degree in communication engineering in 2017 from the Chalmers University of Technology, Gothenburg, Sweden, where he is currently working toward the Ph.D. degree with the Department of Electrical and Engineering. His main research interests include multi-object tracking and sensor fusion, especially for extended objects. He has co-organized tutorials on multi-object tracking at Information Fusion conference.
Showing 20 publications
Poisson Multi-Bernoulli Approximations for Multiple Extended Object Filtering
Deep Instance Segmentation with Automotive Radar Detection Points
Multiple Object Trajectory Estimation Using Backward Simulation
A Poisson multi-Bernoulli mixture filter for coexisting point and extended targets
Next Generation Multitarget Trackers: Random Finite Set Methods vs Transformer-based Deep Learning
An Uncertainty-Aware Performance Measure for Multi-Object Tracking
Backward simulation for sets of trajectories
Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar
Extended Object Tracking with Automotive Radar Using Learned Structural Measurement Model
Spatiotemporal Constraints for Sets of Trajectories with Applications to PMBM Densities
Trajectory multi-Bernoulli filters for multi-target tracking based on sets of trajectories
Extended object tracking using hierarchical truncation model with partial-view measurements
Multiscan implementation of the trajectory poisson multi-Bernoulli mixture filter
Extended target Poisson multi-Bernoulli mixture trackers based on sets of trajectories
Gaussian implementation of the multi-Bernoulli mixture filter
Poisson Multi-Bernoulli Mixture Trackers: Continuity Through Random Finite Sets of Trajectories
Likelihood-Based Data Association for Extended Object Tracking Using Sampling Methods
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