Internet-of-Cars - Revolutionizing the Automotive Industry by Car Data
2016-07-25T13:27:50Z (GMT) by
Hundreds of sensors in today's cars generate a massive amount of data from the engine rooms. This data holds information about the driver's behavior as well as the engine mechanics, breaks and tires for example. Until recently the engine room data has not been accessible. Times are about to change. There are a number of ongoing initiatives where the car data will soon be made openly available to the third party developers. Thus, the Appstore of the automotive industry is just around the corner.
Norwegian students conceptualized and developed solutions based on an open car dataset made available by OpenXC. This publication contains the developed concepts and ideas exploring how the car data can benefit the driver, community and the society. The solutions deal predominantly with personal safety, driving ecology and transportation comfort matters.
in the Spring of 2016 370 2nd year bachelor students participating to a software engineering course at the Norwegian University of Science and Technology (NTNU) were challenged to develop solutions that would revolutionize the automotive industry by means of utilizing open car data.
The publication at hand presents 40+ original concepts developed by students in teams of 8 persons in TDT4140 Software Engineering course at NTNU. Each concept is presented following a unified 2-page structure. On the first page there is a description of the team, the product and the persona (the most likely user of the product) and on the second page there is a poster developed for communication purposes. For each concept, there is also a physical implementation on Raspberry Pi based platform and a 3 minute video presentation (see refs for the link).
In addition to the student developed content, the reader will find information about the course, the teachers, the teaching methods and practices employed as well as some stimulating concepts outside the context of the course.
ISBN 978-82-326-1591-9 (ebook)
This work is part of the pre-project results of the APPSTACLE-ITEA3 European Research Project.