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The substantial increase of electronic systems and processors in vehicles is increasing the already remarkable amount of software code, generating thousands of software-related recalls according to the National Highway Traffic Safety Administration (NHTSA), leading to frequent customer updates. Current software updating methods are inconvenient for customers and dealers alike, requiring a significant amount of time and expensive hardware to implement. With Wi-Fi technology and embedded modems entering vehicles, several OEMs have already taken an innovative approach with Over-The-Air (OTA) technology. OTA updating has shown to be a proven method in the telecom industry with tens of millions of phones equipped with OTA capabilities and millions of successful OTA updates performed each year, contributing to a reliable and efficient method of updating. This paper analyzes the different ways OTA is currently being used to successfully achieve in-vehicle software updates.

This paper presents an assessment of competing algorithms for normalizing volume levels between tracks and/or sources in an automotive infotainment system. Portable media players such as smartphones and iPod® devices are extremely popular for listening to music collections or streaming content from the Internet. The lack of normalization is a source of dissatisfaction if the user experiences significant changes in audio level between tracks. Several commercially available algorithms exist to solve this problem. This research includes a double-blind listening test comparing an audio sample processed with the different leveling algorithms to an unprocessed reference. The listener preference rating is recorded and results indicate which algorithm is preferred.