| 期刊全稱 | Autonomous driving algorithms and Its IC Design | | 影響因子2023 | Jianfeng Ren,Dong Xia | | 視頻video | http://file.papertrans.cn/167/166811/166811.mp4 | | 發(fā)行地址 | Systematically introduces readers to all aspects of autonomous driving algorithm, software and chip design.Highlights potential autonomous driving products and services and potential business opportun | | 圖書封面 |  | | 影響因子 | .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..The content is divided into thirteen chapters, the first chapter mainly introduces readers to the current challenges and research directions in autonomous driving. Chapters 2–6 focus on algorithm design for perception and planning control. Chapters 7–10 address the optimization of deep learning models and the design of de | | Pindex | Book 2023 |
The information of publication is updating
|
|
|Archiver|手機(jī)版|小黑屋|
派博傳思國際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-13 06:41
發(fā)表于 2025-3-21 16:05:34
