Forum Discussion
What Intelligent Edge hardware development topics would YOU like to see discussed?
jonmikeli Thanks for the question. I'm on the Microsoft Connected Vehicle Platform (MCVP) team. We are working with several Automotive OEMs on putting together a Vehicle-Computer Architecture with Automotive Extensions. If you know much about the automotive space, you'll know that there is a lack of "standards' in this industry. We hope to provide more documented guidance on this in the near future.
The MCVP is also working with several Tier-1's to help them spec out hardware for the OEMs that would do more than just "meet the requirements". This would include helping them with how to support the many computational workloads within a vehicle, including, but not limited to, safety, infotainment, human interaction, productivity, virtual assistant, autonomous driving, etc. Some vehicles may only have some of these, other may more or all. Different loads require different solutions, so we recommend that there be different vehicle-computers to support the various workloads for that specific vehicle.
I hope this answers your question.
Thanks again for asking.
Hi John Spear ,
I do not know if this is the right place to post this question. Feel free to redirect me.
I am interested in developing solutions in automotive business. Do you know if vehicle manufacturers and solution providers like Microsoft are working together in a kind of hardware "standard" to allow easier/fastest solution developments? Ex: an agreement according to which IoT Edge modules could be deployed in the vehicles.
Microsoftjonmikeli Thanks for the question. I'm on the Microsoft Connected Vehicle Platform (MCVP) team. We are working with several Automotive OEMs on putting together a Vehicle-Computer Architecture with Automotive Extensions. If you know much about the automotive space, you'll know that there is a lack of "standards' in this industry. We hope to provide more documented guidance on this in the near future.
The MCVP is also working with several Tier-1's to help them spec out hardware for the OEMs that would do more than just "meet the requirements". This would include helping them with how to support the many computational workloads within a vehicle, including, but not limited to, safety, infotainment, human interaction, productivity, virtual assistant, autonomous driving, etc. Some vehicles may only have some of these, other may more or all. Different loads require different solutions, so we recommend that there be different vehicle-computers to support the various workloads for that specific vehicle.
I hope this answers your question.
Thanks again for asking.
Hi robaghamalian ,
Thank you for your answer and all the details provided.
I do no come from the Automotive industry but I am very interested on developing IoT/AI solutions on it. I am a Cloud and IoT Solutions architect trying to create functional/business value with new ideas. That is why I am starting gathering information about what could be done, how, costs, what the developing platforms are, automotive applications life-cycle, actors, etc.
Thanks for the provided information. It gives me a global idea of what Microsoft is working on but it is still not clear in terms of details. Is there a way to get more technical details about the works you mention? Is that platform "public" or accessible in a way so that I could develop solutions (mainly talking about the "embedded part" by any information from any part is very welcomed)? I guess the cloud platform relies in existing solutions or services like IoT Hub, Event Hub, ASA, etc.
If this information cannot provided, may I ask what would be the computational power range of the targeted vehicles (processing, RAM, memory, communication capabilities, etc)? What type of software platform do those vehicles run on nowadays (OS, capabilities, etc)? Could IoT Edge or containerized solutions run appropriately in those vehicles? What are the communication strategies the industry relies on (ex: 5G, others)?
I apologize if I am asking too many question or inappropriate questions.Thank you in advance for your time.