EMERGING TECHNIQUES IN SMART AUTOMOTIVE SYSTEMS

The large data generating nature of autonomous vehicles poses many important challenges from data storage and data processing.

- Ramakrishnan Ramanathaia

The state of automotive transport is changing very rapidly due to the advent of a wide range of technologies. These technological changes include advances in fields such as data science, route optimisation and cloud computing. This article outlines the major techniques and questions that have emerged in recent years in the field of smart automotive systems. In particular, this article focusses on the self-driving cars and other related enabling fields.

A smart automotive system is a system that uses technology to either aid a driver get to his / her destination in an efficient manner (partially autonomous cars) or relieves the driver of driving responsibilities completely and automatically transports all people in the vehicle to their destination (fully autonomous cars). Both types of smart autonomous vehicle use a wide variety of sensors to facilitate their respective operations and this tends to generate a lot of data which needs to be processed or stored. In the future, it is further envisioned that cars will be able to communicate with each other to transmit traffic-related data and therefore cars may need to also store and process information that they may not have collected themselves.