Name
Title | ||
|---|---|---|
Dual Extended Kalman Filter Based State and Parameter Estimator for Model-Based Control in Autonomous Vehicles |
Abstract | ||
|---|---|---|
To enable effective model-based control for autonomous vehicles, accurate vehicle states and model parameters are required. Most of the state estimation and model-based control consider a linear time-invariant model with fixed system parameters by using their approximate values, such as the weight of the vehicle and tire cornering stiffness. However, these parameters may vary significantly due to ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/ITSC48978.2021.9564571 | 2021 IEEE International Intelligent Transportation Systems Conference (ITSC) |
Keywords | DocType | ISBN |
Linear systems,Parameter estimation,Conferences,Tires,Real-time systems,Kalman filters,State estimation | Conference | 978-1-7281-9142-3 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chenran Li | 1 | 0 | 0.34 |
| Yulong Liu | 2 | 6 | 4.48 |
| Liting Sun | 3 | 28 | 9.26 |
| Yahui Liu | 4 | 0 | 0.34 |
| Masayoshi Tomizuka | 5 | 0 | 0.68 |
| Wei Zhan | 6 | 51 | 13.79 |