Prediction & Monitoring

Prediction & Monitoring

• Cognitive architectures exist over time creating the ability to predict future situations.
• Requires some model of the environment and the effect actions have on it.
• Uses knowledge structures to predict future situations.
• Monitor the environment to relate back to predictions.

Prediction & Monitoring in Automobiles

What does this look like?

• Types of prediction & monitoring
• Autonomous vehicles

Computer-vision technology

• Look out of the vehicle to detect & track roads & avoid hitting obstacles/pedestrians
• Look inside the vehicle to monitor the attentiveness of the driver & predict intentions

"It is believed that successful integration of such powerful sensory suites in a human-centric decision logic framework will have a significant impact on the safety of new generations."

Subtle movements of the head and body can indicate that a driver is about to turn or change lanes in the next few seconds. With that information, combined with data from sensors outside the car, computers can predict that a driver is going to make a dangerous move.
Example: turning left in front of an oncoming car.

Eco-Driving

• Monitoring and prediction of the road, traffic and fuel consumption to create fuel saving aspects of eco-driving

Active Steering

• Model Predictive Control
• Changing lanes within an automobile
• Active safety used to avoid accidents, while facilitating better vehicle stability

Subaru EyeSight

• Adaptive Cruise Control
• Lane Departure & Sway Warning
• Pre-Collision Braking
• Pre-Collision Throtle Mangement

With all of these different types of prediction and monitoring already integrated into automobiles. How are these changing cognition by computers?

Autonomous Car

• It can track pedestrians & cyclists. It understands traffic lights. It can merge at highway speeds.
• The car is interpreting the world- predicting where other cars will be in the future.
• "We’re analyzing and predicting the world 20 times a second."

Do all of these capabilities predict future situations and events accurately to benefit our society?

What does this mean in education?

Untitled Slide

• How will our classrooms look?
• Will this technology enter the classroom?
• Will school busses be autonomous?
• How will we monitor our students during instruction? testing?
• Will classrooms be filled with sensors and monitors?

Conclusion

The functional capability of prediction and monitoring has changed the technology within automobiles for several years. Autonomous cars could become common place in the near future and more predictive safety features are now standard on many vehicles.

This technology is transforming how we will interact through transportation methods. Soon similar technology could migrate into the classroom effecting the classroom culture and environment.

References

Falcone, P., Borrelli, F., Asgari, J., Tseng, H. E., & Hrovat, D. (2007). Predictive Active Steering Control for Autonomous Vehicle Systems. IEEE Transaction of Control Systems Technology, 15(3), 566-580. doi: 10.1109/TCST.2007.894653


Kamal, M.A.S., Mukai, M., Murata, J. & Kawabe, T. (2010). On Board Eco-Driving System for Varying Road-Traffic Environments Using Model Predictive Control. IEEE Transaction of Control Systems Technology, 1636-1641. doi: 10.1109/CCA.2010.5611196

Langley, P., Laird, J.E., & Rogers, S. (2009). Cognitive architectures: Research issues and challenges. Cognitive Systems Research, 10(2), 141-160.

Subaru. EyeSight Driver Assist Technology. Retrieved from http://www.subaru.com/engineering/eyesight.html#Forester

Trivedi, M M; Gandhi, T; & McCall, J. (2007). Looking-in and looking-out of a vehicle: Computer-vision-based enhanced vehicle safety. IEEE Transactions on Intelligent Transportation Systems, 8(1), 108 - 120. doi: 10.1109/TITS.2006.889442. UC San Diego: Retrieved from: http://escholarship.org/uc/item/2g6313r2 Valdes-


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