A Research Platform for Autonomous Vehicles Technologies Research in the Insurance Sector

Miguel, Miguel Ángel de; Moreno, Francisco Miguel; Marín-Plaza, Pablo; Al-Kaff, Abdulla; Palos, Martín; Martín, David; Encinar-Martín, Rodrigo; García, Fernando

doi:10.3390/app10165655

Cited by 13 publications

(7 citation statements)

References 23 publications

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“…Subsequently, path planning exploits the output of the previous two tasks in order to adopt the optimal and safest feasible route for the RIRS to reach its destination while considering all other possible obstacles on the way [18]. Lastly, based on the selected path, the control element outputs the necessary values of acceleration, torque, braking and steering angle for the vehicle to follow the selected path [19]. ROS is used in order to make these elements work together and build a real autonomous system.…”

Section: Discussionmentioning

confidence: 99%

Localisation and Navigation Framework for Autonomous Railway Robotic Inspection and Repair System

et al. 2021

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Section: Discussionmentioning

confidence: 99%

Localisation and Navigation Framework for Autonomous Railway Robotic Inspection and Repair System

et al. 2021

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“…Consequently, CESVIMAP has embarked on the participation in several projects, from the ATLAS research platform for the evaluation of autonomous vehicles' sensors and software [30], to its participation in the development of autonomous bus-type vehicles for tourist routes in cities [31], or the pilot testing of a food delivery company that uses small autonomous robots.…”

Section: Methodsmentioning

confidence: 99%

Exploring the Evolution of Autonomous Vehicle Acceptance through Hands-On Demonstrations

Encinar,

Madridano,

de Miguel

et al. 2023

Applied Sciences

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This article delves into the acceptance of autonomous driving within society and its implications for the automotive insurance sector. The research encompasses two different studies conducted with meticulous analysis. The first study involves over 600 participants involved with the automotive industry who have not yet had the opportunity to experience autonomous driving technology. It primarily centers on the adaptation of insurance products to align with the imminent implementation of this technology. The second study is directed at individuals who have had the opportunity to test an autonomous driving platform first-hand. Specifically, it examines users’ experiences after conducting test drives on public roads using an autonomous research platform jointly developed by MAPFRE, Universidad Carlos III de Madrid, and Universidad Politécnica de Madrid. The study conducted demonstrates that the user acceptance of autonomous driving technology significantly increases after firsthand experience with a real autonomous car. This finding underscores the importance of bringing autonomous driving technology closer to end-users in order to improve societal perception. Furthermore, the results provide valuable insights for industry stakeholders seeking to navigate the market as autonomous driving technology slowly becomes an integral part of commercial vehicles. The findings reveal that a substantial majority (96% of the surveyed individuals) believe that autonomous vehicles will still require insurance. Additionally, 90% of respondents express the opinion that policies for autonomous vehicles should be as affordable or even cheaper than those for traditional vehicles. This suggests that people may not be fully aware of the significant costs associated with the systems enabling autonomous driving when considering their insurance needs, which puts the spotlight back on the importance of bringing this technology closer to the general public.

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“…To reach this level of automation and, to transform a commercial car into an intelligent platform, several years of research and development have been necessary since 2018. Although it is true that, throughout these years, the continuous advances and the evolution of technology have led to the introduction of new systems and components in the vehicle, most of the characteristics and developments of the vehicle are included in the work [17]. While a brief description of the current state of the vehicle will be provided below, [17] offers an in-depth explanation of aspects of the platform that are not covered in this section.…”

Section: A Atlas Platformmentioning

confidence: 99%

Evaluating the acceptance of autonomous vehicles in the future

Madridano¹,

Delgermaa²,

Paraiso³

et al. 2023

Preprint

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The continuous advance of the automotive industry is leading to the emergence of more advanced driver assistance systems that enable the automation of certain tasks and that are undoubtedly aimed at achieving vehicles in which the driving task can be completely delegated. All these advances will bring changes in the paradigm of the automotive market, as is the case of insurance. For this reason, CESVIMAP and the Universidad Carlos III de Madrid are working on an Autonomous Testing pLatform for insurAnce reSearch (ATLAS) to study this technology and obtain first-hand knowledge about the responsibilities of each of the agents involved in the development of the vehicles of the future. This work gathers part of the advancements made in ATLAS, which have made it possible to have an autonomous vehicle with which to perform tests in real environments and demonstrations bringing the vehicle closer to future users. As a result of this work, and in collaboration with the Johannes Kepler University Linz, the impact, degree of acceptance and confidence of users in autonomous vehicles has been studied once they have taken a trip on board a fully autonomous vehicle such as ATLAS. This study has found that, while most users would be willing to use an autonomous vehicle, the same users are concerned about the use of this type of technology. Thus, understanding the reasons for this concern can help define the future of autonomous cars.

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A Research Platform for Autonomous Vehicles Technologies Research in the Insurance Sector

Cited by 13 publications

References 23 publications

Localisation and Navigation Framework for Autonomous Railway Robotic Inspection and Repair System

Localisation and Navigation Framework for Autonomous Railway Robotic Inspection and Repair System

Exploring the Evolution of Autonomous Vehicle Acceptance through Hands-On Demonstrations

Evaluating the acceptance of autonomous vehicles in the future

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