Simulation-Based Analysis of a Network Model for Autonomous Vehicles with Vehicle-to-Vehicle Communication

IRC-SET 2018 ◽  
2019 ◽  
pp. 389-400
Author(s):  
Qi Yao Yim ◽  
Kester Yew Chong Wong
2020 ◽  
Vol 1 (1) ◽  
pp. 2-6
Author(s):  
László Palkovics

Összefoglalás. Jelen cikk célja a járműipar egyes területeit érintő kiberbiztonsági kockázatok vizsgálata. Fentiekkel összhangban a cikk első részében a járműipar kiberbiztonsági szempontból releváns területei kerülnek meghatározásra. Ezt követően megtörténik a 2018. évben rögzített járműipari kibertámadások kockázatalapú értékelő elemzése. Summary. Nowadays, cybersecurity has a critical impact to our lives. The Internet has also got a substantial role in our days since many people are constantly connected to the Internet (e.g., through online social networks) (Török et al. 2020a). Besides, numerous personal and individual devices are connected. The growing number of connected devices and cyberspace expansion make our lives easier. However, this affects our privacy, with the potential for unauthorized use of personal information. In summary, life in a networked world carries unknown dangers. In the future, many new risk factors are expected to occur, which will significantly increase the level of cybersecurity threats. Examining the aspects of the automotive industry, we should mention the summary of Cheng et al., which explores the field’s problems through novel theoretical solutions and related practical considerations. The book pays special attention to vehicle communication and networked systems. This book examines three main scientific directions for 5G-compliant vehicle-to-vehicle communication and cooperative vehicle control: modeling and testing capabilities for vehicle-to-vehicle communication, state-of-the-art technologies related to the physical layer, and MAC design procedures (Cheng et al. 2019). Cheng and colleagues (Cheng et al. 2019) examined the communication channels currently applied in the automotive industry or that are expected to be applied soon. Particular attention has been paid to examining the tasks and challenges that need to be addressed in order to support the spread of the connected transport systems in the future. The evaluation focused on the cooperation of connected vehicles. Their study also outlined the most important security risks and challenges associated with new communication solutions. In the light of the above-mentioned considerations, it can be said that the emergence of connected and autonomous vehicles can make a significant contribution to the positive effects of cyberspace, but can also have a disadvantageous impact on the vulnerability of transport processes. In line with this, it is important to examine and understand the vulnerabilities of connected and autonomous vehicles, the threats to vehicles. With this knowledge, automotive cybersecurity professionals’ responsibility is to develop appropriate security functions and capabilities for connected and autonomous vehicles and transport systems. This enables the systems to detect, evaluate, and, if necessary, treat different attacks and malicious interventions. Along with the above objectives, many research studies in the automotive segment have already focused on identifying cybersecurity assessment frameworks for motor vehicles. Among these, it is worth highlighting the projects “HEAling Vulnerabilities to ENhance Software Security and Safety” and “E-safety vehicle intrusion protected applications” (Cheah et al. 2018).


Electronics ◽  
2021 ◽  
Vol 10 (6) ◽  
pp. 651
Author(s):  
Wouter Schinkel ◽  
Tom van der Sande ◽  
Henk Nijmeijer

A cooperative state estimation framework for automated vehicle applications is presented and demonstrated via simulations, the estimation framework is used to estimate the state of a lead and following vehicle simultaneously. Recent developments in the field of cooperative driving require novel techniques to ensure accurate and stable vehicle following behavior. Control schemes for the cooperative control of longitudinal and lateral vehicle dynamics generally require vehicle state information about the lead vehicle, which in some cases cannot be accurately measured. Including vehicle-to-vehicle communication in the state estimation process can provide the required input signals for the practical implementation of cooperative control schemes. This study is focused on demonstrating the benefits of using vehicle-to-vehicle communication in the state estimation of a lead and following vehicle via simulations. The state estimator, which uses a cascaded Kalman filtering process, takes the operating frequencies of different sensors into account in the estimation process. Simulation results of three different driving scenarios demonstrate the benefits of using vehicle-to-vehicle communication as well as the attenuation of measurement noise. Furthermore, in contrast to relying on low frequency measurement data for the input signals of cooperative control schemes, the state estimator provides a state estimate at every sample.


Author(s):  
Jesy Pachat ◽  
Nujoom Sageer Karat ◽  
Anjana Ambika Mahesh ◽  
Deepthi P P ◽  
Sundar Rajan

Author(s):  
Sanjay M Santhosh ◽  
S Hari Sankar ◽  
G Balagopal ◽  
A U Jayakrishnan ◽  
Shehan P Rajendran ◽  
...  

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