Autonomous Intelligent Vehicles Theory, Algorithms, and Implementation /

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 vehi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Cheng, Hong (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: London : Springer London : Imprint: Springer, 2011.
Σειρά:Advances in Computer Vision and Pattern Recognition,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Part I: Autonomous Intelligent Vehicles
  • Introduction
  • The State of the Art in USA
  • The Framework of Intelligent Vehicles
  • Part II: Environment Perception and Modeling
  • Road Detection and Tracking
  • Vehicle Detection and Tracking
  • Multiple-Sensor Based Multiple-Object Tracking
  • Part III: Vehicle Localization and Navigation
  • An Integrated DGPS/IMU Positioning Approach
  • Vehicle Navigation Using Global Views
  • Part IV: Advanced Vehicle Motion Control
  • Lateral Motion Control for Intelligent Vehicles
  • Longitudinal Motion Control for Intelligent Vehicles.