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Titlebook: AI-enabled Technologies for Autonomous and Connected Vehicles; Yi Lu Murphey,Ilya Kolmanovsky,Paul Watta Book 2023 The Editor(s) (if appli

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The History of Shakespeare in Prisonety, performance, environmental impact, and comfort/convenience can be achieved. This chapter addresses these advanced technologies and the nexus among them, and gives a brief introduction of the chapters in the book.
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Shakespeare and Cultural Exclusionrucks, including edge case testing, reveals the efficacy and robustness of this system despite its leanness. Quantitative results are included in this chapter that trace cause and effect through the CACC system.
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Applied Social Marketing and Quality of Lifeection algorithms deployed for the classification of driver state. In addition, the chapter proposes an unsupervised deep learning neural network model that can be deployed in classifying driver states and actions.
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Optimal Pallet Capacity For A FMS, the practical design of driving strategies for autonomous vehicles. We focus on automated driving on highway and the integration of reinforcement learning, vehicle motion control, and control barrier function, leading to a robust AI driving strategy that can learn and adapt safely.
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Applied Simulation and Optimizationtheir predicted future motion trajectory is available together with some uncertainty bound and satisfies some mild requirement. The proposed motion planner and controller is demonstrated through simulations.
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Advances, Opportunities and Challenges in AI-enabled Technologies for Autonomous and Connected Vehi978-1-349-14030-5
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Semi-autonomous Truck Platooning with a Lean Sensor Package978-0-230-51160-6
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