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...
Κύριος συγγραφέας: | |
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Συγγραφή απο Οργανισμό/Αρχή: | |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
Springer London : Imprint: Springer,
2011.
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Σειρά: | Advances in Computer Vision and Pattern Recognition,
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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.