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Autonomous driving algorithms and Its IC Design

Sofort lieferbar | Lieferzeit: Sofort lieferbar I
ISBN-13:
9789819928972
Veröffentl:
2023
Seiten:
294
Autor:
Jianfeng Ren
eBook Typ:
PDF
eBook Format:
EPUB
Kopierschutz:
1 - PDF Watermark
Sprache:
Englisch
Beschreibung:

With the rapid development of artificial intelligence and the emergence of various new sensors, autonomous driving has grown in popularity in recent years. The implementation of autonomous driving requires new sources of sensory data, such as cameras, radars, and lidars, and the algorithm processing requires a high degree of parallel computing. In this regard, traditional CPUs have insufficient computing power, while DSPs are good at image processing but lack sufficient performance for deep learning. Although GPUs are good at training, they are too "power-hungry," which can affect vehicle performance. Therefore, this book looks to the future, arguing that custom ASICs are bound to become mainstream. With the goal of ICs design for autonomous driving, this book discusses the theory and engineering practice of designing future-oriented autonomous driving SoC chips.
Chapter 1 Autonomous Driving: The Challenges.- Chapter 2 3D Object Detection.- Chapter 3 Lane Detection.- Chapter 4 Motion Planning and Control.- Chapter 5 Positioning and Mapping.- Chapter 6 Autonomous Driving Simulator.- Chapter 7 Autonomous Driving Chip.- Chapter 8 Deep Learning Model Optimization.- Chapter 9 Deep Learning Chip Design.- Chapter 10 Autonomous Driving SoC Chip Design.- Chapter 11 Autonomous Driving Operating System.- Chapter 12 Autonomous Driving Software Architecture.- Chapter 13 V2X.

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