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Felipe Barreno

As seen in: Wiley Online Library, MDPI
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Articles

A Novel Approach for Self-Driving Vehicle Longitudinal and Lateral Path-Following Control Using the Road Geometry Perception

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By Felipe Barreno, Matilde Santos, Manuel G. Romana
| MDPI
1. Introduction Advanced Driver Assistance Systems (ADASs) improve vehicle control during dangerous manoeuvres, distractions, or high-risk situations. Standardising ADASs and introducing self-driving cars will significantly alter driving by enhancing steering, acceleration, braking, and safety [1].
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Driving Behaviour Estimation System Considering the Effect of Road Geometry by Means of Deep NN and Hotelling Transform

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By Felipe Barreno, Matilde Santos, Manuel G. Romana
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A novel adaptive vehicle speed recommender fuzzy system for autonomous vehicles on conventional two‐lane roads

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By Matilde Santos, Felipe Barreno, Manuel G. Romana
| Wiley Online Library Verified
1 INTRODUCTION Today society is facing a great challenge in the widespread introduction of autonomous vehicles. This is a key sector in the so-called “fourth revolution” of industry, boosted by the boom of virtual sensors. We are on the verge of successfully implementing the technology to achieve autonomous vehicles, albeit many more aspects will have to be worked out: insurance, allotment of accountabilities in case of accidents, sharing modes and more.
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