Introduction to Self-Driving Vehicle Technology
Chapman & Hall/CRC (Verlag)
978-0-367-32125-3 (ISBN)
Key Features:
Offers a comprehensive technological walk-through of what really matters in SDV development: from hardware, software, to functional safety and cybersecurity
Written by an active practitioner with extensive experience in series development and research in the fields of Advanced Driver Assistance Systems (ADAS) and Autonomous Driving
Covers theoretical fundamentals of state-of-the-art SLAM, multi-sensor data fusion, and other SDV algorithms.
Includes practical information and hands-on material with Robot Operating System (ROS) and Open Source Car Control (OSCC).
Provides an overview of the strategies, trends, and applications which companies are pursuing in this field at present as well as other technical insights from the industry.
Hanky Sjafrie is the CEO of SGEC, an independent engineering consulting firm specializing in automotive software engineering for Advanced Driver Assistance (ADAS) and Autonomous Driving (AD.) Much of his experience was acquired through his deep involvement in these fields while working on various R&D projects for car manufacturers and automotive technology suppliers, ranging from sensor technologies (radars, lidars, ultrasonics, etc.) to automotive cybersecurity. Prior to SGEC, he was actively involved in diverse series development and research projects within the domains of ADAS/AD and infotainment systems at BMW and Audi, as well as at a Silicon Valley-based autonomous driving start-up. Besides working with clients from the automotive industry, he also provides insights into the realm of automotive technology to Siemens, Boston Consulting Group, PricewaterhouseCoopers, and Roland Berger, among others.
1. Introduction. 2. Hardware. 3. Perception. 4. Architecture. 5. Putting it all together. 6. Other technology aspects. 7. Applications and Outlook
Erscheinungsdatum | 22.11.2019 |
---|---|
Reihe/Serie | Chapman & Hall/CRC Artificial Intelligence and Robotics Series |
Zusatzinfo | 6 Tables, black and white; 97 Illustrations, color |
Sprache | englisch |
Maße | 156 x 234 mm |
Gewicht | 460 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Fahrzeugbau / Schiffbau | |
ISBN-10 | 0-367-32125-4 / 0367321254 |
ISBN-13 | 978-0-367-32125-3 / 9780367321253 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich