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Automotive

 

Offline functionality and edge data persistence for the Automotive industry.

Edge Computing & the Automotive Industry: an Overview

The current mobility landscape is shifting towards a data-enabled, driverless system. The more that computers become involved in the operation of cars, the more vital reliable, efficient and fast data management becomes.

Today, connected vehicles produce over 25,000 MB of data every hour. This data should not and cannot all be sent to the cloud. Edge Computing, enabled by technologies such as ObjectBox, will be a critical tool to curb high cloud costs, improve user experience, ensure safe, real-time response rates, and protect personal data amidst increasing regulatory standards.

ObjectBox Empowers Edge Computing in Vehicles

Ensure Offline-capability and Reliability

Whenever you are driving at some point you will not have an internet connection. Many automotive use cases require offline capability – for example, while on the move, in underground garages, or remote areas.

ObjectBox enables automotive applications to always work – not matter if the device is connected to the internet or not, providing a seamless user experience. At the same time, ObjectBox ensures that data is reliably stored and never lost with ACID compliant transactions, the gold-standard in data management.

Keep Personal Data personal – with the User

Most users are not willing to share their personal data with auto manufacturers; in fact 90% of EU respondents in an FiA survey believed that vehicle data belonged to the vehicle owner or driver.

ObjectBox allows developers to build apps that keep personal data with the user – enabling a personalized user experience without bringing data ownership into question.

Sync Data and Save Costs

While Edge Computing has many benefits, many projects need part of their data at a central point, accessible in the cloud. With ObjectBox Sync, you choose which data to synchronize and when, keeping cloud costs reasonable as projects scale.

ObjectBox Sync will also enable data synchronization directly between devices, facilitating Vehicle-to-Vehicle (V2V) or Vehicle-to-Infrastructure (V2I) use cases.

Use Cases for Automotive on the Edge

There are countless application for edge computing in vehicles – from measuring tire pressure to monitoring driver behavior, there are many data points which can be stored and used the edge, in real time, to make cars smarter, safer, and more efficient. Using ObjectBox, developers can build applications that store and process data on the edge, and sync relavant data to a centralized cloud to peer-to-peer between devices, enabling new use cases or enhancing existing projects.

Collecting

Test Drive Data

Automotive manufacturers complete extensive test drives with new vehicle models, during which they collect a wide range of data (from the car and smartphone). Currently, many car manufacturers send this test drive data directly to the cloud, to be processed and analyzed. However, based on these applications, manufactureres strive to deploy many of these functionalities with regular cars. This would enable them on one hand to monitor their cars on the road (anonymized) to e.g. inform future design based on actual user behaviour, or detect anomalities that occur. On the other hand, they could also provide their customers with more insights into their cars and their driver behaviour as well as provide them with additional features like predicitive maintenance that would help everyone lower car break downs.

  • Scale data collection and processing sustainably
  • Real-time information and feedback for the driver
  • Data synchronization transfers data when the phone or car is back online

Personalized

Comfort Settings

Edge computing enables an amazingly broad range of use cases, including user experience use cases. Personalized seat settings – for example, how far forward the driver seat is, tension level, or back support – is data that is stored locally, on the edge, in the car seat. An app allow users to save and adjust their personal settings via their smartphone. Edge data storage and data synchronization keeps the data saved in the seat and on the app in sync – so when users get in the car they the ultimate comfort with minimal effort.

  • Improves user experience
  • Synchronization keeps both instances up to date

 

Tire Pressure

Monitoring

Tire pressure is an important, but rather mundane aspect of car mantenance. Using edge computing, a small smart node can monitor tire pressure and send data to the car interface and/or users smartphone at regular intervals, notifying the driver if there is a significant change in pressure, or if they need to top up. Using defined specs, like these open source vehicle spec standards, vehicle manufactureres like BMW, Volvo, and Jaguar can model and monitor vehicle condition via a digital twin, and connect with the drivers smartphone via app.

  • Data is kept locally, driver is alerted when pressure is too low
  • Using a digital twin, data can be updated a different intervals for different parts

 

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