Name
Title | ||
|---|---|---|
Learning-based Extended Object Tracking Using Hierarchical Truncation Measurement Model with Automotive Radar |
Abstract | ||
|---|---|---|
This paper presents a data-driven measurement model for extended object tracking (EOT) with automotive radar. Specifically, the spatial distribution of automotive radar measurements is modeled as a hierarchical truncated Gaussian (HTG) with structural geometry parameters that can be learned from the training data. The HTG measurement model provides an adequate resemblance to the spatial distributi... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSTSP.2021.3058062 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | DocType | Volume |
Radar measurements,Automotive engineering,Radar,Computational modeling,Time measurement,Sensors,Density measurement | Journal | 15 |
Issue | ISSN | Citations |
4 | 1932-4553 | 2 |
PageRank | References | Authors |
0.39 | 0 | 8 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuxuan Xia | 1 | 9 | 3.63 |
| Pu Wang | 2 | 25 | 10.26 |
| Karl Berntorp | 3 | 26 | 16.30 |
| Lennart Svensson | 4 | 385 | 43.46 |
| Karl Granstrom | 5 | 2 | 0.39 |
| Hassan Mansour | 6 | 349 | 34.12 |
| Petros T. Boufounos | 7 | 2 | 0.39 |
| Petros T. Boufounos | 8 | 828 | 56.77 |