中文名: 自動駕駛智能汽車：理論，算法和實現
原名: Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation
作者: Hong Cheng
圖書分類: 軟件
資源格式: PDF
版本: 英文文字版
出版社: Springer
書號: 978-1-4471-2279-1
發行時間: 2011年
地區: 美國
語言: 英文
簡介:

內容介紹：
Autonomous intelligent vehicles pose unique challenges in robotics, that encompass issues of environment perception and modeling, localization and map building, path planning and decision-making, and motion control. This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: Presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic frameworkProvides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor featuresDiscusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approachExamines a vehicle navigation approach using global viewsIntroduces algorithms for lateral and longitudinal vehicle motion controlAn essential reference for researchers in the field, the broad coverage of all aspects of this research will also appeal to graduate students of computer science and robotics who are interested in intelligent vehicles.
作者介紹：
Dr. Hong Cheng is Professor in the School of Automation Engineering, and Director of the Pattern Recognition and Machine Intelligence Institute at the University of Electronic Science and Technology of China.
內容截圖：

目錄:
Chapter 1: Introduction
Chapter 2: The State-of-the-Art in the USA
Chapter 3: The Framework of Intelligent Vehicles
Chapter 4: Road Detection and Tracking
Chapter 5: Vehicle Detection and Tracking
Chapter 6: Multiple-Sensor Based Multiple-Object Tracking
Chapter 7: An Integrated DGPS/IMU Positioning Approach
Chapter 8: Vehicle Navigation Using Global Views
Chapter 9: The Lateral Motion Control for Intelligent Vehicles
Chapter 10: Longitudinal Motion Control for Intelligent Vehicles