UID:
edoccha_9960074156602883
Format:
1 online resource (x, 525 pages) :
,
illustrations (some color)
ISBN:
0-12-803756-3
,
0-12-803729-6
Series Statement:
Gale eBooks
Content:
This book is an accounting of the technology of autonomous vehicles with a special focus on navigation and planning aspects. It includes information on the use of different sensors to perceive the environment, the problem of motion planning, and the macroscopic concepts related to Intelligent Transportation Systems.
Note:
Description based upon print version of record.
,
Front Cover; On-Road Intelligent Vehicles; On-Road Intelligent Vehicles; Copyright; Contents; Acknowledgement; 1 - Introduction; 1.1 Introduction; 1.2 Why Autonomous Vehicles?; 1.2.1 Advantages; 1.2.2 Concerns; 1.3 A Mobile Robot on the Road; 1.4 Artificial Intelligence and Planning; 1.5 Fully Autonomous and Semi-Autonomous Vehicles; 1.6 A Network of Autonomous Vehicles; 1.7 Autonomous Vehicles in Action; 1.7.1 Entries From the DARPA Grand Challenge; 1.7.2 Autonomous Vehicles From Different Companies; 1.8 Other Types of Robots; 1.9 Into the Future; 1.10 Summary; References
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2 - Basics of Autonomous Vehicles2.1 Introduction; 2.2 Hardware; 2.2.1 External Sensors; 2.2.2 Stereovision and 3D Sensing; 2.2.3 Motion and Internal Sensors; 2.2.4 Actuators and Drive by Wire; 2.2.5 Processing and Networking; 2.2.6 Power; 2.3 Software; 2.3.1 Vision; 2.3.2 Mapping; 2.3.3 Localization; 2.3.4 Motion Planning; 2.3.5 Control; 2.3.6 Human-Machine Interface Issues; 2.4 Localization; 2.4.1 Kalman Filter; 2.4.2 Extended Kalman Filter; 2.4.3 Particle Filtering; 2.5 Control; 2.6 Summary; References; 3 - Perception in Autonomous Vehicles; 3.1 Introduction; 3.2 Perception
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3.2.1 Sensor Choices and Placement3.2.2 Sensor Calibration; 3.2.3 Stereovision and 3D Techniques; 3.2.4 Multisensors and Information Fusion; 3.3 Computer Vision; 3.3.1 Image Preprocessing; 3.3.2 Feature Extraction; 3.3.3 Segmentation and Localization; 3.4 Recognition; 3.4.1 Neural Networks; 3.4.2 Support Vector Machines; 3.4.3 Decision Trees; 3.4.4 Adaptive Boosting; 3.5 Tracking and Optical Flow; 3.6 Vision for General Navigation; 3.6.1 Vehicle and Obstacle Detection and Tracking; 3.6.2 Road and Lane Detection and Tracking; 3.6.3 Pedestrian Detection; 3.6.4 Understanding Traffic Signs
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3.7 SummaryReferences; 4 - Advanced Driver Assistance Systems; 4.1 Introduction; 4.2 Information-Based Assistance Systems; 4.2.1 Advanced Traveller Information Systems; 4.2.2 Inattention Alert Systems; 4.2.2.1 Indicators of Inattention; 4.2.2.2 General Procedure for Detecting Inattention; 4.2.2.3 Feature Detection; 4.2.2.4 Feature Extraction and Classification; 4.2.2.5 Hybrid Techniques for Inattention Detection; 4.2.3 Measuring Driver Performance; 4.3 Manipulation-Based Assistance Systems; 4.3.1 Safety Alert and Emergency Stopping; 4.3.2 Adaptive Cruise Control
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4.3.3 Overtaking Assessment and Assist4.3.4 Automated Parking Systems; 4.4 Feedback Modalities to Driver; 4.5 Multi-Vehicle Systems; 4.6 Communication; 4.7 Summary; References; 5 - Introduction to Planning; 5.1 Introduction; 5.2 Layers of Planning; 5.2.1 Strategic and Tactical Planning; 5.2.2 Route Planning; 5.2.3 Obstacle Avoidance; 5.2.4 Trajectory Generation; 5.2.5 Control; 5.3 Types of Traffic; 5.3.1 Organized and Structured Traffic; 5.3.2 Unorganized and Unstructured Traffic; 5.3.3 Off-road Vehicles; 5.4 Motion-Planning Primitives; 5.4.1 Configuration Space and Problem Description
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5.4.2 Metrics to Judge Planning Algorithms
Language:
English
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