Abstract
The automotive industry could be facing a situation of profound change and opportunity in the coming decades. There are a number of influencing factors such as increasing urban and aging populations, self-driving cars, 3D parts printing, energy innovation, and new models of transportation service delivery (Zipcar, Uber). The connected car means that vehicles are now part of the connected world, continuously Internet-connected, generating and transmitting data, which on the one hand can be helpfully integrated into applications, like real-time traffic alerts broadcast to smartwatches, but also raises security and privacy concerns. This paper explores the automotive connected world, and describes five killer QS (Quantified Self)-auto sensor applications that link quantified-self sensors (sensors that measure the personal biometrics of individuals like heart rate) and automotive sensors (sensors that measure driver and passenger biometrics or quantitative automotive performance metrics like speed and braking activity). The applications are fatigue detection, real-time assistance for parking and accidents, anger management and stress reduction, keyless authentication and digital identity verification, and DIY diagnostics. These kinds of applications help to demonstrate the benefit of connected world data streams in the automotive industry and beyond where, more fundamentally for human progress, the automation of both physical and now cognitive tasks is underway.
Highlights
The automotive industry could be facing numerous sweeping and interlinked changes in the several decades
This paper examines the trend and potential implications of the connected car, and automotive sensor integration with the connected world
The automotive industry could be facing a situation of profound change and opportunity, including how it might interrelate with the connected world of ubiquitous computing
Summary
The automotive industry could be facing numerous sweeping and interlinked changes in the several decades. Are there many different potential changes facing the industry, but unlike most other industries, the automotive industry, while incorporating modern Internet network-enabled technology (like automation, global manufacturing, connected online inventories, worldwide supply chain, etc.), has not yet been forced to completely and fundamentally reinvent itself as other industries have in the last few decades (for example, publishing, music, entertainment, film, technology manufacturing, consumer electronics, financial services, health, and education). The hard asset resource requirements and lack of Internet-model scalability available to the automotive industry through digital assets means that it is much harder to source the materials, parts, and knowledge to build your own car, insert it into the insurance, regulatory, and financial ecosystem, and enter the industry as an independent automotive manufacturer with the possibility of scaling such that your production could be consumed by millions and potentially take the place of traditional. Automobiles are still hard assets, not digital assets, so industry configuration dynamics are necessarily different, yet still open to destabilization
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