16 Connected and Automated Vehicles: Study of Platooning
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Dhruvkumar Patel
Abstract
Connected and automated vehicles combine leading edge technologies to allow vehicles to be self-aware, and communicate roadway information with other vehicles and drivers. Among the most promising applications for connected and automated vehicles (CAVs) is platooning, that is, the synchronized movement of two or more vehicles as a unit. Platooning holds great potential to make road transport safer, cleaner, and more efficient. In this chapter, we discuss CAV technologies, architectures, and computing approaches for platooning.
Abstract
Connected and automated vehicles combine leading edge technologies to allow vehicles to be self-aware, and communicate roadway information with other vehicles and drivers. Among the most promising applications for connected and automated vehicles (CAVs) is platooning, that is, the synchronized movement of two or more vehicles as a unit. Platooning holds great potential to make road transport safer, cleaner, and more efficient. In this chapter, we discuss CAV technologies, architectures, and computing approaches for platooning.
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- Contributing Authors VII
- Introduction XI
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Part A: Driver/Vehicle Interaction Systems
- 1 MobileUTDrive: A Portable Device Platform for In-vehicle Driving Data Collection 3
- 2 Semantic Analysis of Driver Behavior by Data Fusion 25
- 3 Predicting When Drivers Need AR Guidance 35
- 4 Driver’s Mental Workload Estimation with Involuntary Eye Movement 49
- 5 Neurophysiological Driver Behavior Analysis 67
- 6 Modeling the Relationship between Driver Gaze Behavior and Traffic Context during Lane Changes Using a Recurrent Neural Network 87
- 7 A Multimodal Control System for Autonomous Vehicles Using Speech, Gesture, and Gaze Recognition 101
- 8 Head Pose as an Indicator of Drivers’ Visual Attention 113
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Part B: Models & Theories of Driver/Vehicle Systems
- 9 Evolving Neural Network Controllers for Tractor-Trailer Vehicle Backward Path Tracking 135
- 10 Spectral Distance Analysis for Quality Estimation of In-Car Communication Systems 149
- 11 Combination of Hands-Free and ICC Systems 165
- 12 Insights into Automotive Noise PSD Estimation Based on Multiplicative Constants 183
- 13 In-Car Communication: From Single- to Four-Channel with the Frequency Domain Adaptive Kalman Filter 213
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Part C: Self–driving and the Mobility in 2050
- 14 The PIX Moving KuaiKai: Building a Self-Driving Car in Seven Days 233
- 15 Vehicle Ego-Localization with a Monocular Camera Using Epipolar Geometry Constraints 251
- 16 Connected and Automated Vehicles: Study of Platooning 263
- 17 Epilogue – Future Mobility 2050 285
- Index 311
Kapitel in diesem Buch
- Frontmatter I
- Contents V
- Contributing Authors VII
- Introduction XI
-
Part A: Driver/Vehicle Interaction Systems
- 1 MobileUTDrive: A Portable Device Platform for In-vehicle Driving Data Collection 3
- 2 Semantic Analysis of Driver Behavior by Data Fusion 25
- 3 Predicting When Drivers Need AR Guidance 35
- 4 Driver’s Mental Workload Estimation with Involuntary Eye Movement 49
- 5 Neurophysiological Driver Behavior Analysis 67
- 6 Modeling the Relationship between Driver Gaze Behavior and Traffic Context during Lane Changes Using a Recurrent Neural Network 87
- 7 A Multimodal Control System for Autonomous Vehicles Using Speech, Gesture, and Gaze Recognition 101
- 8 Head Pose as an Indicator of Drivers’ Visual Attention 113
-
Part B: Models & Theories of Driver/Vehicle Systems
- 9 Evolving Neural Network Controllers for Tractor-Trailer Vehicle Backward Path Tracking 135
- 10 Spectral Distance Analysis for Quality Estimation of In-Car Communication Systems 149
- 11 Combination of Hands-Free and ICC Systems 165
- 12 Insights into Automotive Noise PSD Estimation Based on Multiplicative Constants 183
- 13 In-Car Communication: From Single- to Four-Channel with the Frequency Domain Adaptive Kalman Filter 213
-
Part C: Self–driving and the Mobility in 2050
- 14 The PIX Moving KuaiKai: Building a Self-Driving Car in Seven Days 233
- 15 Vehicle Ego-Localization with a Monocular Camera Using Epipolar Geometry Constraints 251
- 16 Connected and Automated Vehicles: Study of Platooning 263
- 17 Epilogue – Future Mobility 2050 285
- Index 311
