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Titlebook: Autonomous driving algorithms and Its IC Design; Jianfeng Ren,Dong Xia Book 2023 Publishing House of Electronics Industry 2023 Autonomous

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发表于 2025-3-21 16:05:34 | 显示全部楼层 |阅读模式
期刊全称Autonomous driving algorithms and Its IC Design
影响因子2023Jianfeng Ren,Dong Xia
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发行地址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
图书封面Titlebook: Autonomous driving algorithms and Its IC Design;  Jianfeng Ren,Dong Xia Book 2023 Publishing House of Electronics Industry  2023 Autonomous
影响因子.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
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发表于 2025-3-21 23:29:33 | 显示全部楼层
3D Object Detection,iving in Sects. . and ., respectively. Based on the existing work on sensor modalities, the discussion will be summarized into single sensor-based methods, point cloud-based methods and fusion methods. In Sect. ., a paper is selected and combined with open-source code to discuss 3D object detection.
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Autonomous Driving ASICs,ort the development of autonomous vehicles around this trend. This chapter focuses on reviewing how the industry is currently meeting the challenges of semiconductor technology innovation in this field.
发表于 2025-3-22 21:14:31 | 显示全部楼层
Deep Learning Model Optimization,nity and has made great strides in the past few years..This chapter divides these methods into four categories: (1) parameter pruning and sharing; (2) low-rank factorization; (3) transfer/compact convolutional filters; and (4) knowledge distillation. For parameter pruning- and sharing-based solution
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