Self-driving car specialization course

• Titel: Self-driving car specialization course
• Mitwirkende: Kanjee, Ritesh [MitwirkendeR]
• Institutionen: Augmented AI (Firm), [MitwirkendeR]
• Institutionen: Packt Publishing, [Verlag]
• Ausgabe: [First edition].
• Verlagsort: [Birmingham, United Kingdom]
• Verlag: Packt Publishing Ltd.
• E-Jahr: 2024
• Jahr: [2024]
• Umfang: 1 online resource (1 video file (6 hr., 43 min.))
• Illustrationen: sound, color.
• Fussnoten: Online resource; title from title details screen (O’Reilly, viewed May 29, 2024)
• ISBN: 978-1-83620-807-5
• ISBN: 1-83620-807-3
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Véhicules autonomes ; Logiciels
• Sach-SW: Véhicules autonomes
• Sach-SW: Instructional films
• Sach-SW: Nonfiction films
• Sach-SW: Internet videos
• Sach-SW: Films de formation
• Sach-SW: Films autres que de fiction
• Sach-SW: Vidéos sur Internet
• K10plus-PPN: 1892759616
• K10plus-PPN:
  Universitätsbibliothek
• Lokale URL UB: Zum Volltext
• Lokale URL UB: Bibliothek der Medizinischen Fakultät Mannheim der Universität Heidelberg
• Bibliothek/Idn: UW / m4544437253
• Lokale URL Inst.: Zum Volltext

Abstract

Begin your journey with an in-depth exploration of autonomous vehicle fundamentals in the first module, where you'll learn about the evolution, typologies, and key technologies that define self-driving cars. Each video segment builds a robust framework, detailing levels of automation, the hardware and software utilized, and crucial safety standards and measures that govern this cutting-edge industry. Progress into the specialized realms of system design and control systems in subsequent modules, where practical applications meet theoretical knowledge. Here, the course intricately details the architecture of self-driving car systems, including both hardware and software perspectives, and delves into advanced control mechanisms like PID controllers, Kalman filters, and adaptive cruise control systems. The final modules encapsulate the application of computer vision in autonomous driving and the integration of ROS simulations, providing a hands-on approach to understanding and implementing these technologies. Through this course you'll gain insights into object detection, scene understanding, and the implementation of navigation and collision avoidance systems, culminating in a comprehensive understanding of the real-world challenges and solutions in autonomous vehicle technology.