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智能网联汽车技术

课程代码

Course Code

ME6426

*学时

Teaching Hours

48

*学分

Credits

3

*课程名称

Course Name

(中文)智能网联汽车技术

(English)Intelligent and Connected Vehicle Technology

*授课语言

Instruction Language

中文 (Chinese)

*开课院系

School

机械与动力工程学院School of Mechanical Engineering

先修课程

Prerequisite

汽车构造理论Automobile Structure and Principle、控制理论基础Fundamentals of Control Theory、汽车电子技术Automotive Electronics

授课教师

Instructors

姓名Name

职称Title

单位Department

联系方式E-mail

殷承良

Chengliang Yin

研究员

Professor

机械与动力工程学院

School of Mechanical Engineering

clyin1965@sjtu.edu.cn

王亚飞

Yafei Wang

讲师

Lecturer

机械与动力工程学院

School of Mechanical Engineering

wyfjlu@sjtu.edu.cn

*课程简介(中文)Course Description

 

《智能网联汽车技术》是一门着眼于汽车智能化和网联化的跨学科课程,主要教授智能网联汽车的四大关键技术(环境感知、信息融合、智能决策和控制执行)以及相应的整车技术与测试评价方法。在环境感知方面,重点介绍车载内外感传感器以及车车/车路通信技术;在信息融合方面,重点介绍传感器信息融合的基本理论和方法;在智能决策方面,重点介绍路径规划与自主驾驶决策理论;在控制执行方面,重点介绍线控系统和车辆运动控制方法。为便于理解和掌握,还将介绍典型技术案例。在教学形式上,将结合课堂讲授、讨论互动和实验室实验相结合的形式。通过课堂教学和实验室实验,培养学生对汽车智能化和网联化的基本概念和基本原理的理解。

 

*课程简介(English)Course Description

 

“Intelligent and Connected Vehicle Technology” is an inter-discipline course focusing on vehicle intelligence and networked technologies. This course delivers environment perception, information fusion, decision making, X-by-wire technologies and control techniques. Moreover, integration and testing/evaluation technologies are also included in the course. The environment perception part focuses on the introduction of all kinds of sensors and V2X technologies, the information fusion part focuses on sensor fusion algorithms and methodologies, the decision making part focuses on route planning and vehicle-driver co-driving, and the control part focuses on X-by-wire technologies and advanced intelligent vehicle control. Case studies and laboratory experiments will be provided for better understanding of the course.

*教学安排

Schedules

教学内容Content

授课学时

Hours

教学方式

Format

智能汽车技术概述

An Introduction to Intelligent Vehicles

3

课程教学

Lectures

智能汽车整车技术体系

Intelligent Vehicle Technologies Overview

12

课程教学

Lectures

智能汽车控制与线控技术

Control and X-by-Wire Technology

9

课程教学

Lectures

智能汽车环境感知技术

Environment Perception Technology

6

课程教学

Lectures

智能汽车智能决策技术

Decision Making Technology

9

课程教学

Lectures

智能汽车测试与评价方法

Testing and Evaluation Methodology

9

课程教学

Lectures

*考核方式Grading Policy

 

考核包括平时表现和一份本课程相关报告。报告评判的准则为:论述是否简洁和明确,是否能表达出适当的意见,是否有见地的分析案例和提供清楚的论证。

Assessment includes attendance and a course-related final report. The report is assessed based on: is the report concise and clear; are the stated ideas proper; does the report show clear evidence of appropriate and insightful analysis of the case?

 

*教材或参考资料Textbooks &References

 

无人驾驶汽车概论, 陈慧岩等, 北京理工大学, 2014.

无人驾驶车辆智能行为及其测试与评价, 熊光明等,北京理工大学出版社, 2015.

Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation, Hong Cheng, Springer, 2011.

自编教材Self-designed Materials

 

备注

Notes



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