Automated Driving

自动驾驶(springer 2017 )最新书籍，高清原版！书中对无人车的各个方面比如架构，安全，定位，控制等有非常详细的讲解，特别是控制，基本包含讲了所有的无人车控制方法！是一本好的综述书！

Mapping, Planning and Exploration with Pose SLAM

高清最新（Springer 2017）slam书籍！学习slam的好书！slam 书籍比较少，这是不可多得的好书！希望对大家有帮助

understanding and modeling the driver

这篇文章对人控制车进行研究，是从事无人车控制必看的文章！ This paper examines the role of the human driver as the primary control element within the traditional driver-vehicle system. Lateral and longitudinal control tasks such as path-following, obstacle avoidance, and headway control are examples of steering and braking activities performed by the human driver. Physical limitations as well as various attributes that make the human driver unique and help to characterize human control behavior are described. Example driver models containing such traits and that are commonly used to predict the performance of the combined driver-vehicle system in lateral and longitudinal control tasks are identified.

Autonomous vehicle control at the limits of Handing

斯坦福无人车控制博士论文，设计无人车控制器的速度达到160公里/小时！，对从事无人车控制方向研究的工程师和研究人员具有非常大的参考意义！

self-driving cars : A survey

无人车综述：Abstract— We survey research on self-driving cars published in the literature focusing on autonomous cars developed since the DARPA challenges, which are equipped with an autonomy system that can be categorized as SAE level 3 or higher. The architecture of the autonomy system of self-driving cars is typically organized into the perception system and the decision-making system. The perception system is generally divided into many subsystems responsible for tasks such as self-driving-car localization, static obstacles mapping, moving obstacles detection and tracking, road mapping, traffic signalization detection and recognition, among others. The decision- making system is commonly partitioned as well into many subsystems responsible for tasks such as route planning, path planning, behavior selection, motion planning, and control. In this survey, we present the typical architecture of the autonomy system of self-driving cars. We also review research on relevant methods for perception and decision making. Furthermore, we present a detailed description of the architecture of the autonomy system of the UFES’s car, IARA. Finally, we list prominent autonomous research cars developed by technology companies and reported in the media

Geoffrey Hinton 学生的深度学习博士论文

Learning Deep Generative Models ，Geoffrey Hinton的学生的关于深度学习的博士论文，做deep leaning的必看，strongly recommend！

Independent Component Analysis A Tutorial Introduction

原版电子书Independent Component Analysis，独立成分分析，讲得很好

Andrew Ng 的博士论文

Andrew ng，想必大家都看过他公开课，他的博士论文也非常值得一看

Kevin Patrick Murphy 博士论文

Kevin Patrick Murphy大牛的博士论文，做machine learning的人必看。

Data Mining：Concepts and Techniques Second Edition

韩家炜的原版电子版，超清晰非扫描，网上最好的版本