Intelligent Driver Profiling System for Cars – A Basic Concept

Abstract

Many industries have been transformed by the provision of service solutions characterised by personalisation and customisation-most dramatically the development of the iPhone. Personalisation and customisation stand to make an impact on cars and mobility in comparable ways. The automobile industry has a major role to play in this change, with moves towards electric vehicles, autonomous cars, and car sharing as a service. These developments are likely to bring disruptive changes to the business of car manufacturers as well as to drivers. However, in the automobile industry, both the user's preferences and demands and also safety issues need to be confronted since the frequent use of different makes and models of cars, implied by car sharing, entails several risks due to variations in car controls depending on the manufacturer. Two constituencies, in particular, are likely to experience even more difficulties than they already do at present, namely older people and those with capability variations. To overcome these challenges, and as a means to empower a wide car user base, the paper here presents a basic concept of an intelligent driver profiling system for cars: the system would enable various car characteristics to be tailored according to individual driver-dependent profiles. It is intended that wherever possible the system will personalise the characteristics of individual car components; where this is not possible, however, an initial customisation will be performed.

Advanced Temporal Dilated Convolutional Neural Network for a Robust Car Driver Identification

“…To meet this high demand for efficient and safe automotive systems, the technology is becoming increasingly sophisticated and the products currently on the market include intelligent solutions in the ADAS field [6,19]. The ADAS systems, an acronym of Advanced Driver Assistance Systems, are becoming a very useful resource for the design of latest generation cars in order to increase the overall safety driving as well as to address classical automotive issues related to a drop of driver attention [18,4]. Anyway, it is clear that the driving assistance systems must be customized to the driver and his driving dynamics.…”

Deep LSTM with Dynamic Time Warping Processing Framework: A Novel Advanced Algorithm with Biosensor System for an Efficient Car-Driver Recognition

“…These ADAS inform the driver in case of danger related to reduced attention [1][2][3]. For this reason, further efforts are being made in the latest generation of cars to make the ADAS more efficient by trying to make them more and more adaptable to the driving needs of the individual driver [4]. In fact, each car driver has their own driving dynamics, level of perception, reflexes, readiness, and driving experience which, obviously, must be taken into consideration by the ADAS which are suitable to assist the driver.…”

“…In fact, each car driver has their own driving dynamics, level of perception, reflexes, readiness, and driving experience which, obviously, must be taken into consideration by the ADAS which are suitable to assist the driver. To this end, it is particularly useful to continuously identify the user while driving in order to apply the most suitable ADAS assistance setup [4]. There are several approaches in the literature for car-driver identity recognition.…”

Design Framework and Intelligent In-Vehicle Information System for Sensor-Cloud Platform and Applications

“…As an important carrier for the realization of intelligent transportation systems, the IoV refers to the use of advanced information and communication technology (Information Communication Technology, ICT) [8][9][10], based on the in-vehicle network, the inter-vehicle network, and the vehicle cloud network, in accordance with the agreed system architecture and its communication protocol and data interaction standards, a cyber-physical fusion system for communication and data exchange between vehicles.x (X: vehicles, roads, pedestrians and mobile Internet, etc.). The IoV not only provides important conditions and basic guarantees for the development of intelligent transportation systems, it is also one of the important vertical industries of the 5th Generation Mobile Communication Technology (5G), and it has been used by industry and academia [11][12][13]. The development of the IoV focuses on networking and intelligence, and gradually shifts from single-vehicle intelligence to multi-vehicle collaboration.…”