Dynamic vision for perception and control of motion

✍ Scribed by Ernst Dieter Dickmanns

• Publisher: Springer
• Year: 2007
• Tongue: English
• Leaves: 490
• Category: Library

✦ Synopsis

This book on autonomous road-following vehicles brings together twenty years of innovation in the field. The book uniquely details an approach to real-time machine vision for the understanding of dynamic scenes, viewed from a moving platform that begins with spatio-temporal representations of motion for hypothesized objects whose parameters are adjusted by well-known prediction error feedback and recursive estimation techniques.

✦ Table of Contents

cover
......Page 1
Title
......Page 2
1 Introduction
......Page 17
2 Basic Relations..
Image Sequences......Page 37
3 Subjects and Subject Classes
......Page 75
4 Application Domains, Missions, and Situations
......Page 127
5 Extraction of Visual Features
......Page 139
6 Recursive State Estimation
......Page 199
7 Beginnings of Spatiotemporal Road
and Ego-state Recognition
......Page 221
8 Initialization in Dynamic Scene Understanding
......Page 243
9 Recursive Estimation of Road Parameters and
Ego State while Cruising
......Page 269
10 Perception of Crossroads
......Page 313
11 Perception of Obstacles and Vehicles
......Page 347
12 Sensor Requirements for Road Scenes
......Page 393
13 Integrated Knowledge Representations for
Dynamic Vision
......Page 411
14 Mission Performance, Experimental Results
......Page 429
15 Conclusions and Outlook
......Page 455
Appendix A
......Page 459
Appendix B
Lateral Dynamics
......Page 465
Appendix C
Recursive Least-squares Line Fit
......Page 469
References
......Page 477
Index
......Page 489