A joint research project between the University of Michigan and Toyota Research Institute was awarded a Best New Application Paper Award by the IEEE Robotics and Automation Society for their work developing reliable control systems for Lane Keeping and Adaptive Cruise Control.

Morning commutes are stressful enough without having to deal with autonomous vehicles tailgating you or drifting into your lane.

Systems such as Lane Keeping (LK), which directly corrects a vehicle’s direction to prevent it from drifting into a different lane, and Adaptive Cruise Control (ACC), which adjusts the speed of the vehicle to ensure a safe driving distance from a slower vehicle in front, exist today and iterations of these features have existed for quite some time. Both features are essential for fully autonomous vehicles to truly become a reality. However, when both are activated simultaneously, there’s no guarantee that they will work correctly – until now.

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