T4: Networking and Communications for Autonomous Driving
Presented by: Jiajia Liu (Northwestern Polytechnical University, China) and Nei Kato (Tohoku University)
Time: 14:00–17:30
Room: Milo 2
Abstract—The development of LIDAR, Radar, camera, and other advanced sensor technologies inaugurated a new era in autonomous driving. However, due to the intrinsic limitations of these sensors, autonomous vehicles are prone to making erroneous decisions and causing serious disasters. At this point, networking and communication technologies can greatly make up for sensor deficiencies, and are more reliable, feasible and efficient to promote the information interaction, thereby improving autonomous vehicle’s perception and planning capabilities as well as realizing better vehicle control. We provide in this tutorial a comprehensive review of recent research works concerning the networking and communication technologies in autonomous driving from two aspects: intra- and inter-vehicle. The intra-vehicle network as the basis of realizing autonomous driving connects the on-board electronic parts. The inter-vehicle network is the medium for interaction between vehicles and outside information. In addition, we present the new trends of communication technologies in autonomous driving, as well as investigate the current mainstream verification methods and emphasize the challenges and open issues of networking and communications in autonomous driving.
Tutorial Objectives
(1) Intra-vehicle Networking and Communications: Intra-vehicle networking and communications as the basis of autonomous driving can realize the transmission of status information and control signals among sensors, actuators and electronic units in the autonomous vehicle, combine the wired and wireless technologies to form an extensible connection backbone structure, and actualize advanced functions in a centralized system. In this part, we review the state-of-the-art of intra-vehicle networking and communication technologies that are already in use on autonomous vehicles or have the potential to be used.
(2) Inter-Vehicle Networking and Communications: Due to the limitations of sensors and autonomous vehicle’s dependence on environmental information, the inter-vehicle networking and communications is of particular importance and can greatly benefit the perception, planning and interaction of autonomous driving. In this part, we focus on the autonomous vehicle’s inter-vehicle networking form, promising architecture, effective management scheme, as well as the promising inter-vehicle communication technologies.
(3) New Trends of Communication Technologies in Autonomous Driving: In this part, we introduce the new trends of communication technologies that have great potential for the foreseeable future and will be more in line with the requirements of autonomous driving.
(4) Verification Methodologies: The research of autonomous driving’s networking and communications needs a lot of experimental support. In this part, we present a review of three kinds of simulators as well as several real-world experiments to test and evaluate networking and communication technologies in autonomous driving.
(5) Challenges and Open Issues: Networking and communications for autonomous driving still have a long way to go and require the joint efforts of academia and industry. In this part, we analyze the challenges and open issues in autonomous vehicle’s networking and communications from the perspectives of requirement, management, standard, and security.
Tutorial Outline
1 Intra-Vehicle Networking and Communications 1.1 Intra-Vehicle Networking 1.1.1. Wired Interconnection 1.1.2. Wireless Interconnection 1.2 Intra-Vehicle Communications 1.2.1. Wired Interconnection Technologies 1.2.2. Wireless Interconnection Technologies 2 Inter-Vehicle Networking and Communications 2.1 Intra-Vehicle Networking 2.1.1. Characteristics 2.1.2. ICN Architecture 2.1.3. Clustering 2.1.4. Platooning 2.1.5. Routing Protocol 2.2 Inter-Vehicle Communications 2.2.1. Low Power Technologies 2.2.2. IEEE 802.11 Family Technologies 2.2.3. Base Station Driven Technologies 2.2.4. Auxiliary Technologies 3 New Trends of Communication Technologies in Autonomous Driving 3.1 The Emerging 5G Technology 3.2 Computing Technologies 3.3 Simultaneous Wireless Information and Power Transfer 3.4 Visible Light Communications 3.5 Deep Learning 4 Verification Methodologies 4.1 Simulators 4.1.1. Network Simulators 4.1.2. Traffic Simulators 4.1.3. Integrated Simulator 4.2 Real-World Experiments 5 Challenges and Open Issues 5.1 Strict Requirements 5.2 Network Management 5.3 Computing System 5.4 Development of Standards 5.5 Security Issues 5.6 Information Transmission Priority 5.7 Data Sharing
Primary Audience
The target audience of this tutorial will be researchers, engineers, and regulators in the academia and the industry of vehicular technology, who are interested in understanding the latest research progress in autonomous vehicular networks as well as autonomous vehicular communication system, vehicular wireless communication technologies, and vehicle automation.
Novelty
Networking and communication technologies can greatly make up for sensor deficiencies, and are more reliable, feasible and efficient to promote the information interaction, ultimately greatly improve the security of autonomous vehicles. We aim at providing an up-to-date tutorial of the networking and communication technologies available for autonomous driving as well as presenting relevant challenges and suggestions, enabling both researchers and beginners to keep abreast of the latest global achievements in this field and to produce a quick and overall mastery.
Biography
Jiajia Liu (SM’15) received his Ph.D. degree in information sciences from Tohoku University in 2012. Since Jan. 2019, he has been a full professor at the School of Cybersecurity, Northwestern Polytechnical University. He has published more than 130 peer-reviewed papers in many high quality publications, including prestigious IEEE journals and conferences. He received IEEE ComSoc Asia-Pacific Outstanding Young Researcher Award in 2017, IEEE TVT Top Editor Award in 2017, the Best Paper Awards from IEEE GLOBECOM in 2016, IEEE WCNC in 2012 and 2014, IEEE IC-NIDC in 2018. He was the recipient of the prestigious 2012 Niwa Yasujiro Outstanding Paper Award and also a recipient of the Tohoku University President Award 2013, Professor Genkuro Fujino Award 2012. He is the Secretary of IEEE AHSN TC, and is a Distinguished Lecturer of IEEE ComSoc.
Nei Kato (F’13) is a full professor (Deputy Dean) with Graduate School of Information Sciences(GSIS) and the Director of Research Organization of Electrical Communication(ROEC), Tohoku University, Japan. He has been engaged in research on computer networking, wireless mobile communications, satellite communications, ad hoc & sensor & mesh networks, smart grid, AI, IoT, Big Data, and pattern recognition. He has published more than 400 papers in prestigious peer-reviewed journals and conferences. He is the Vice-President (Member & Global Activities) of IEEE Communications Society(2018-2019), the Editor-in-Chief of IEEE Transactions on Vehicular Technology(2017-), and the Chair of IEEE Communications Society Sendai Chapter. He served as the Editor-in-Chief of IEEE Network Magazine (2015-2017), a Member-at-Large on the Board of Governors, IEEE Communications Society(2014-2016), a Vice Chair of Fellow Committee of IEEE Computer Society(2016), and a member of IEEE Communications Society Award Committee (2015-2017). Nei Kato is a Distinguished Lecturer of IEEE Communications Society and Vehicular Technology Society. He is also a fellow of The Engineering Academy of Japan and IEICE.