Deep Learning and Its Applications for Vehicle Networks

15 Integrated simulation of deep learning, computer vision and physical layer of UAV and ground vehicle networks

Aldebaro Klautau, Ilan Correa, Felipe Bastos, Ingrid Nascimento, João Borges and Ailton Oliveira

Federal University of Pará, Pará, Brazil

Pedro Batista

Ericsson Research, Torshamnsgatan, Kista, Sweden

Silvia Lins

Innovation Center, Ericsson Telecomunicações, São Paulo, Brazil

DOI: 10.1201/9781003190691-20

Contents

1. 15.1 Introduction
2. 15.2 Applications that can benefit from CAVIAR simulations
   • 15.2.1 Simulation of UAV-enabled AI/ML
   • 15.2.2 Beam-selection for V2I
3. 15.3 Multi-domain integrated simulators
   • 15.3.1 Wireless channel generation with Raymobtime
   • 15.3.2 Caviar simulations
4. 15.4 Simulations results
   • 15.4.1 Beam selection for V2I ...