AI-enabled technologies for autonomous and connected vehicles

by Kolmanovsky, Ilya Murphey, Yi Lu Watta, Paul

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Title Statements

Full title :AI-enabled technologies for autonomous and connected vehicles / Yi Lu Murphey, Ilya Kolmanovsky, Paul Watta, editors.

Summary

This book reports on cutting-edge research and advances in the field of intelligent vehicle systems. It presents a broad range of AI-enabled technologies, with a focus on automated, autonomous and connected vehicle systems. It covers advanced machine learning technologies, including deep and reinforcement learning algorithms, transfer learning and learning from big data, as well as control theory applied to mobility and vehicle systems. Furthermore, it reports on cutting-edge technologies for environmental perception and vehicle-to-everything (V2X), discussing socioeconomic and environmental implications, and aspects related to human factors and energy-efficiency alike, of automated mobility. Gathering chapters written by renowned researchers and professionals, this book offers a good balance of theoretical and practical knowledge. It provides researchers, practitioners and policy makers with a comprehensive and timely guide on the field of autonomous driving technologies.

Edition Statements

Publication Date:2023

Publication Statements

Publisher(s):Springer
Place of Publication:Cham
Language:eng
Publication Date:2023

Notes

3.1 CNN Models for Object Classification

The Physical Object

Description:1 online resource (563 pages)

Edition Identifiers

ISBN:9783031067808, 3031067800
DOI:10.1007/978-3-031-06780-8
oclc:on1344160341
LC Classification:TE228.38
Dewey Decimal:629.2/2

Intro -- Preface -- Contents -- Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehicles -- 1 Introduction -- 2 Autonomous Vehicles: Current Technologies and Challenges -- 2.1 Levels of Autonomy -- 2.2 AI Technologies in Autonomous Vehicles -- 3 Connectivity and Mobility -- 3.1 Mobility Research -- 3.2 Prediction Model for V2X Communications -- 3.3 Big Data Research in Transportation -- 3.4 Automotive Cybersecurity -- References -- Sensors and Perception -- Semi-autonomous Truck Platooning with a Lean Sensor Package -- 1 Overview

2 Literature Survey -- 3 Auburn Platooning System -- 3.1 Dynamic Base Real-Time Kinematic Positioning (DRTK) -- 3.2 Delphi Electronically Scanning Radar (ESR) -- 3.3 Dedicated Short Range Communications -- 3.4 Sensor Fusion -- 4 Testing Campaign -- 5 Results of Sensor Impairment -- 5.1 Effect of a Faulty Radar on Platooning -- 5.2 Effect of a Degraded GPS on Platooning -- 5.3 Effect of Radio Interference -- 5.4 Summary -- 6 Conditional Effects -- 6.1 Occlusions -- 6.2 Rain -- 6.3 Antenna Position -- 6.4 RF Interference -- 6.5 GPS Outage -- 6.6 Road Curvature -- 6.7 Grade -- 7 Conclusion

4.3 3D Object Detect…