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Malik / Kumar / Erkollar

Artificial Intelligence for Autonomous Vehicles and Driver Assistance Systems

Medium: Buch
ISBN: 978-1-032-85687-2
Verlag: CRC Press
Erscheinungstermin: 18.11.2025
Lieferfrist: bis zu 10 Tage

This book aims to provide a comprehensive exploration of the integration of machine learning and deep learning algorithms into the field of autonomous vehicles and advanced driver assistance systems. It also highlights the use of various sensing technologies such as LiDAR, radar, cameras, and ultrasonic sensors.

This book presents machine learning techniques relevant to autonomous systems, with a focus on deep learning, neural networks, and reinforcement learning, providing readers with a solid understanding of these foundational concepts. It further includes real-world applications, offering insights into how these cutting-edge techniques are being employed by industry leaders and startups to improve the perception capabilities of autonomous vehicles.

It is primarily written for senior undergraduates, graduate students, and academic researchers in the fields of electrical engineering, electronics and communications engineering, computer engineering, and automotive engineering.


Produkteigenschaften


  • Artikelnummer: 9781032856872
  • Medium: Buch
  • ISBN: 978-1-032-85687-2
  • Verlag: CRC Press
  • Erscheinungstermin: 18.11.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Serie: Wireless Communications and Networking Technologies
  • Produktform: Gebunden, HC gerader Rücken kaschiert
  • Gewicht: 696 g
  • Seiten: 354
  • Format (B x H x T): 161 x 240 x 24 mm
  • Ausgabetyp: Kein, Unbekannt
Autoren/Hrsg.

Herausgeber

1. Introduction to Sensing Technologies and Artificial Intelligence in Mobility. 2. Sensing Technologies for Autonomous Vehicles. 3. The Power of Artificial Intelligence in Sensing. 4. Sensor Data Processing and Interpretation. 5. Safety and Reliability in Autonomous Vehicles. 6. Future of Sensing Technologies and Artificial Intelligence in Mobility. 7. Case Studies. 8. Challenges and Future Directions. 9. Conclusion.