Name
Title | ||
|---|---|---|
Rigid Point Set Registration Based on Cubature Kalman Filter and Its Application in Intelligent Vehicles. |
Abstract | ||
|---|---|---|
Point set registration is a key problem in intelligent vehicle localization and mapping. This paper presents a rigid point set registration algorithm based on the cubature Kalman filter (CKF). First, the point set registration problem is cast into the state space model assuming that the correspondence between these two point sets is previously unknown. Then, CKF is used to solve this nonlinear fil... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TITS.2017.2735362 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Iterative closest point algorithm,Intelligent vehicles,Robustness,Simultaneous localization and mapping,Predictive models,Approximation algorithms,Convergence | Simulated annealing,Approximation algorithm,Computer vision,Extended Kalman filter,Point set registration,Filter (signal processing),Robustness (computer science),Artificial intelligence,Engineering,Initialization,Simultaneous localization and mapping | Journal |
Volume | Issue | ISSN |
19 | 6 | 1524-9050 |
Citations | PageRank | References |
2 | 0.35 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liang Li | 1 | 102 | 25.00 |
| Ming Yang | 2 | 91 | 30.46 |
| Chunxiang Wang | 3 | 13 | 5.73 |
| Bing Wang | 4 | 14 | 7.46 |