Electronic Architecture for Autonomous Vehicles

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Electrical and Autonomous Vehicles".

Deadline for manuscript submissions: 15 March 2026 | Viewed by 524

Special Issue Editors


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Guest Editor
Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: autonomous vehicles; cooperative services; assistance systems
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: autonomous vehicles; cooperative services; vehicular communications
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Instituto Universitario de Investigación del Automóvil (INSIA), Universidad Politécnica de Madrid, 28040 Madrid, Spain
Interests: autonomous vehicles; path planning; vehicular electronics

Special Issue Information

Dear Colleagues,

The introduction of vehicles with a higher level of automation is proving to be a challenge, especially when dealing with complex scenarios in which sensory perception does not allow for complete and robust situational awareness, but in which the system must be able to make decisions. All of this is leading to a change in the electronic architecture, enabling the merging of information from different sensors and its processing in control units to offer more complete decision-making solutions. Therefore, it is crucial to study the design of this architecture in order to offer sufficient flexibility for the advances that are being introduced at the application level. This architecture includes the organization of sensors and control units. Aspects that guarantee the security of the system as a whole and its robustness must also be considered, as well as the relationship between the electronic architecture and embedded software, since the latter must be adapted to perform calculations in the most efficient way possible on large volumes of information that may be incomplete or not totally reliable. Additionally, in addition to road vehicles, circulating on highways or urban environments, sectors such as the military, agriculture, construction, etc., may require specific architectures that optimize performance. Finally, the architecture must be open to different control strategies such as automated guidance, remote guidance, or remote monitoring, as well as to information sources that convey data from the vehicle's own sensors to wireless communication systems with the outside (other vehicles or infrastructure).

This Special Issue aims to collect articles related to the electronic and software architecture that must be implemented in highly automated vehicles so that they are capable of dealing with complex scenarios by processing the information obtained via on-board sensors and/or wireless communications. It also aims to present the variety of approaches that are currently being utilized, as well as the application of architectures oriented to certain sectors or employed in specific contexts. Finally, we welcome the submission of state-of-the-art studies on this architecture.

Dr. Felipe Jiménez
Prof. Dr. Jose Eugenio Naranjo
Dr. Alfredo Valle
Guest Editors

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Keywords

  • automated vehicles
  • electronic architecture
  • software
  • sensors
  • decision making
  • control unit

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Published Papers (1 paper)

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31 pages, 643 KB  
Systematic Review
The Use of Business Intelligence and Analytics in Electric Vehicle Technology: A Comprehensive Survey
by Alexandra Bousia
Electronics 2026, 15(2), 366; https://doi.org/10.3390/electronics15020366 - 14 Jan 2026
Abstract
The emerging urbanization and the extensive increase of the transportation sector are responsible for the significant increase in carbon dioxide emissions. Therefore, replacing traditional cars with Electric Vehicles (EVs) is a promising solution, offering a clearer alternative. EVs are becoming more and more [...] Read more.
The emerging urbanization and the extensive increase of the transportation sector are responsible for the significant increase in carbon dioxide emissions. Therefore, replacing traditional cars with Electric Vehicles (EVs) is a promising solution, offering a clearer alternative. EVs are becoming more and more well-known and are being quickly used worldwide. However, the exponential rise in EV sales has also raised a number of issues, which are becoming important and demanding. These challenges include the need of driving security, the battery degradation, the inadequate infrastructure for charging EVs, and the uneven energy distribution. In order for EVs to reach their full potential, intelligent systems and innovative technologies need to be introduced in the field of EVs. This is where business intelligence (BI) can be employed, along with artificial intelligence (AI), data analytics, and machine learning. In this paper, we provide a comprehensive survey on the use of BI strategies in the EV transportation sector. We first introduce the EVs and charging station technologies. Then, research works on the application of BI and data analysis techniques in EV technology are reviewed to further understand the challenges and open issues for the research and industry community. Moreover, related works on accident analysis, battery health prediction, charging station analysis, intelligent infrastructure, locating charging stations analysis, and autonomous driving are investigated. This survey systematically reviews 75 peer-reviewed studies published between 2020 and 2025. Finally, we discuss the fundamental limitations and the future open challenges in the aforementioned topics. Full article
(This article belongs to the Special Issue Electronic Architecture for Autonomous Vehicles)
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