After a hiatus, the IEEE Vehicular Technology Society Chicago chapter has resumed again. We will start our chapter meeting this year with a talk by Dr. Alvin Chin from BMW Technology Corporation who spoke about The Ultimate Smart Driving Machine: Powering the Connected Car with Machine Learning. Dr. Alvin Chin is the Chair of the IEEE Vehicular Technology Society Chicago chapter. The event was attended by about 13 IEEE VTS members and non-members, and several BMW engineers and interns.
What is the state-of-the-art in the connected car industry, and what are the challenges and opportunities that big data and machine learning can address? Cars are now connected to the internet and car manufacturers are becoming more like software companies, shifting focus from traditional hardware platforms towards the software and services platform, leveraging scalable cloud computing with machine learning and IoT.
The car is not just about going from point A to point B anymore, but rather delivering a holistic experience that revolves around the activities in our daily lives. Car manufacturers are using big data, machine learning and AI to understand consumer behaviors, and preferences for specific cars that they like to drive. Your car may predict when you should leave for work and home, and learn which places you go often, to make the car become The Ultimate Smart Driving Machine.