From “basic” features like lane assist and self-parking, through to advanced capabilities like sensor fusion and pattern recognition, data is — quite literally — the driving force behind autonomous vehicles. Self-driving cars also generate a great deal of sensitive information, such as location data and driving habits. Ensure you have fine-grained access to this data to ensure you maximise impact and accuracy, whilst protecting customer information from unauthorised access.
Autonomous vehicles typically make use of V2X (vehicle-to-everything) functionality to build up a picture of their environment. Vehicle-to-vehicle data helps to reduce the risk of crashes, vehicle-to- infrastructure technology delivers information on environmental conditions and the built environment, and vehicle-to-network tech turns the car into an information-gathering hub.
Vehicle-to-person technology remains at an early stage, requiring individuals to consent to having their mobile device serve as a safety beacon using information transmitted from a car. However, once they have given consent, ensure you meet the approved usage standards by implementing attribute- and purpose-based controls. This will enable you to monitor — and instantly prove — who has accessed customer data and why.
Battery performance data is vital to electric vehicles. Whether it’s the overall health of the cell, information on charging cycles, or basic energy consumption data, it can all help to optimise the range, efficiency, and longevity of an electric vehicle. Frequently, machine learning models are used to predict how batteries will respond under different conditions — helping manufacturers to create better and more effective units.
In order to train these models and optimise your global EV infrastructure, you need to be able to share high quality, accurate data — securely, compliantly, and at scale.
| Supply chain | Sales, marketing, and CRM | Fleet management |
|---|---|---|
| Away from the vehicle itself, analysis of wider industry trends can help you keep up with changing consumer demand. | Analysis of customer data can help you to zero in on specific demographics, preferences, and budgets — helping you to personalise the experience. | For those who need it, big data analytics can play a crucial role in helping to manage and coordinate vehicles across a distributed fleet. |
Years before a vehicle hits the road, AI-powered computer modelling helps designers and engineers test its performance in a variety of scenarios. In addition to shaping the design of that vehicle, the data produced can be an invaluable starting point for future development. Data analytics can also provide an early warning for defective or underperforming parts.
Deploying high-fidelity models requires massive amounts of structured and unstructured data — and that data must be consistently secured with scalable, dynamic access controls. This will help protect your current and future vehicle development processes, giving you a highly informed competitive edge.
Market insights, expert commentary, and the latest data security news in Driving Change—Immuta’s dedicated automotive magazine.
