A Change of Paradigm for the Design and Reliability Testing of Touch-Based Cabin Controls on the Seats of Self-Driving Cars

Author:

Custódio Tiago,Alves Cristiano,Silva Pedro,Silva Jorge,Rodrigues Carlos,Lourenço Rui,Pessoa Rui,Moreira Fernando,Marques Ricardo,Tomé Gonçalo,Falcao GabrielORCID

Abstract

The current design paradigm of car cabin components assumes seats aligned with the driving direction. All passengers are aligned with the driver that, until recently, was the only element in charge of controlling the vehicle. The new paradigm of self-driving cars eliminates several of those requirements, releasing the driver from control duties and creating new opportunities for entertaining the passengers during the trip. This creates the need for controlling functionalities that must be closer to each user, namely on the seat. This work proposes the use of low-cost capacitive touch sensors for controlling car functions, multimedia controls, seat orientation, door windows, and others. In the current work, we have reached a proof of concept that is functional, as shown for several cabin functionalities. The proposed concept can be adopted by current car manufacturers without changing the automobile construction pipeline. It is flexible and can adopt a variety of new functionalities, mostly software-based, added by the manufacturer, or customized by the end-user. Moreover, the newly proposed technology uses a smaller number of plastic parts for producing the component, which implies savings in terms of production cost and energy, while increasing the life cycle of the component.

Funder

FEDER through POCI - Programa Operacional Competitividade e Internacionalização

Fundação para a Ciência e Tecnologia

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing,Control and Systems Engineering

Reference31 articles.

1. Lane-Merging Strategy for a Self-Driving Car in Dense Traffic Using the Stackelberg Game Approach

2. A Convolutional Neural Network-Based End-to-End Self-Driving Using LiDAR and Camera Fusion: Analysis Perspectives in a Real-World Environment

3. Compute Solution for Tesla's Full Self-Driving Computer

4. Driverless Cars Are Coming—A Paradigm Shifthttps://www.computer.org/publications/tech-news/neal-notes/driverless-cars-are-coming-a-paradigm-shift

5. AI Self-Driving Cars Consonance: Practical Advances in Artificial Intelligence and Machine Learning;Eliot,2020

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