Certified Control in autonomous vehicles with visual lane finding and LiDAR
Certified Control in autonomous vehicles with visual lane finding and LiDAR
- Neue Suche nach: Chow, Jeff(Jeff T.)
- Neue Suche nach: Chow, Jeff(Jeff T.)
- Neue Suche nach: Daniel Jackson.
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021 ; Cataloged from the official PDF of thesis. ; Includes bibliographical references (pages 79-82). ; Certified Control is a safety architecture for autonomous vehicles in which the controller must provide evidence to a runtime monitor that the actions it takes are safe. If the monitor deems the current state of the vehicle as unsafe, it intervenes by signalling the vehicle actuators to brake. In this work, we demonstrate how Certified Control can be used to increase safety through two implementations: one involving visual lane-finding and one involving LiDAR. Through experiments utilizing real driving data, a robot racecar, and simulation software, we show examples in which these runtime monitors detect and mitigate unsafe scenarios. ; by Jeff Chow. ; M. Eng. ; M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science
Dokumentinformationen
Certified Control in autonomous vehicles with visual lane finding and LiDAR
2021-01-01
1251779033
Hochschulschrift
Elektronische Ressource
Englisch
| DDC: | 629 |
Ähnliche Titel
Concurrent visual multiple lane detection for autonomous vehicles
| Tema Archiv | 2010