Agnes Jernström is a software engineer for the MultiSensing® development team at Neonode. MultiSensing is Neonode's proprietary technology for Machine Perception which utilizes the latest advances in machine learning combined with in-house generated synthetic data to interpret and understand a wide range of objects, situations, and contexts. Agnes has broad experience from the automotive industry having worked for leading OEMs in a wide variety of fields such as positioning of autonomous vehicles, gearbox actuation and vehicle-to-vehicle communication. She holds a MSc in Industrial Engineering from the Royal Institute of Technology in Stockholm, Sweden.
Solution Study
Thursday, June 19
09:15 am - 09:45 am
Live in Berlin
Less Details
Knowing that the driver is ready to take back control is crucial for a safe switching between autonomous and manual driving. Most automated driving systems on the market today therefore require the driver to keep their hands on the steering wheel at all times. Today, this is verified using sensor technology within the steering wheel. However, these systems can easily be fooled. Using existing in-cabin cameras is a cost-effective way to create a hands-on-wheel detection system that is harder to spoof.
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