| Description |
1 online resource |
| Summary |
"This book provides a novel perspective on secure state estimation and multimodal perception for robotic mobility platforms such as autonomous vehicles. In particular, the book discusses the two essential topics in autonomous systems: 1. secure state estimation that focuses on system robustness under cyber-attacks, and 2. multi-sensor fusion that helps improve system performance based on the complementary characteristics of different sensors. Finally, the authors introduce a geometric pose estimation framework to incorporate measurements and constraints into a unified fusion scheme, where real-time road-constrained and heading-assisted pose estimation is achieved. The proposed geometric pose estimation has been validated using public and self-collected data and can be further extended to other kinds of sensor configurations with state and measurement constraints."-- Provided by publisher |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on print version record and CIP data provided by publisher; resource not viewed |
| Subject |
Multisensor data fusion.
|
|
Mobile robots.
|
|
Automated vehicles.
|
|
Automated vehicles
|
|
Mobile robots
|
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Multisensor data fusion
|
| Form |
Electronic book
|
| Author |
Jiang, Rui (Research fellow), author.
|
|
Chen, Badong, author.
|
|
Sam Ge, Shuzhi, author
|
| LC no. |
2022039108 |
| ISBN |
9781119876038 |
|
1119876036 |
|
9781119876021 |
|
1119876028 |
|
9781119876045 |
|
1119876044 |
|
