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Advanced Sensing and Control for Connected and Automated Vehicles

Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data,...

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Bibliographic Details
Main Author: Huang, Chao
Other Authors: Du, Haiping, Zhao, Wanzhong, Zhao, Yifan
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2022
Subjects:
Unsprung Mass
V2v Communication
Collision Warning System
Ultra-wideband
Kabsch Algorithm
Unified Chassis Control
Dead Reckoning
Radar Accuracy
Vehicle Dynamic Parameters
Autonomous Driving
N/a
Potential Field
Sigmoid Curve
End-to-end Learning
Kalman Filter
History Of Engineering & Technology / Bicssc
Simulation
Technology: General Issues / Bicssc
Yaw Stability
Fronto-parietal Network
Data-driven
Object Vehicle Estimation
Radar Latency
Vehicle-to-vehicle Communication
Roll Stability
Off-tracking
Attention Feature Fusion
Multiple-model
Electric Vehicle
Object Detection
Executive Control
Model Predictive Control
Real-time Control
Urban Platooning
Articulated Cargo Trucks
Time To Collision
Path Planning
Connected And Autonomous Vehicles
Simulated Driving
Analytic Hierarchy Architecture
Autonomous Vehicles
Autonomous Vehicle
Task-cuing Experiment
Multi-scale Channel Attention
Urban Vehicle Platooning
String Stability
Weighted Interpolation
Artificial Neural Networks
Traffic Scenes
Trajectory Tracking
Vehicle Dynamics Model
Unscented Kalman Filter
Tyre Blow-out
Truck Platooning
In-vehicle Network
Attention
Electroencephalogram
Troop
Multi-task Learning
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:Connected and automated vehicles (CAVs) are a transformative technology that is expected to change and improve the safety and efficiency of mobility. As the main functional components of CAVs, advanced sensing technologies and control algorithms, which gather environmental information, process data, and control vehicle motion, are of great importance. The development of novel sensing technologies for CAVs has become a hotspot in recent years. Thanks to improved sensing technologies, CAVs are able to interpret sensory information to further detect obstacles, localize their positions, navigate themselves, and interact with other surrounding vehicles in the dynamic environment. Furthermore, leveraging computer vision and other sensing methods, in-cabin humans’ body activities, facial emotions, and even mental states can also be recognized. Therefore, the aim of this Special Issue has been to gather contributions that illustrate the interest in the sensing and control of CAVs.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (284 p.)
ISBN:9783036534886
9783036534879
books978-3-0365-3488-6

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