Multimodal perception and secure state estimation for robotic mobility platforms / Xinghua Liu

Public ISBD Titre : Multimodal perception and secure state estimation for robotic mobility platforms Type de document : texte imprimé Auteurs : Xinghua Liu, Auteur ; Rui Jiang, Auteur ; Badong Chen, Auteur ; Shuzhi Sam Ge, Auteur Importance : 1 vol. (XVI-208 p.) Présentation : ill. en noir et en coul. Format : 24 cm ISBN/ISSN/EAN : 978-1-119-87601-4 Langues : Anglais (eng) Index. décimale : 005.7 Résumé : "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 Permalink : ./index.php?lvl=notice_display&id=21544 Multimodal perception and secure state estimation for robotic mobility platforms [texte imprimé] / Xinghua Liu, Auteur ; Rui Jiang, Auteur ; Badong Chen, Auteur ; Shuzhi Sam Ge, Auteur . - [s.d.] . - 1 vol. (XVI-208 p.) : ill. en noir et en coul. ; 24 cm. ISBN : 978-1-119-87601-4 Langues : Anglais (eng) Index. décimale : 005.7 Résumé : "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 Permalink : ./index.php?lvl=notice_display&id=21544

Exemplaires

Code-barres	Cote	Support	Localisation	Section	Disponibilité
aucun exemplaire

---

1 (1 - 1 / 1)