AgeLab and Toyota Release Innovative New Visual Open Data to Accelerate Autonomous Driving Research

by Adam Felts

How can we train self‐driving vehicles to have a deeper awareness of the world around them? Can computers learn from past experiences to recognize future patterns that can help them safely navigate new and unpredictable situations?

These are some of the questions researchers from the Massachusetts Institute for Technology (MIT) AgeLab at the MIT Center for Transportation & Logistics and the Toyota Collaborative Safety Research Center (CSRC) are trying to answer by sharing an innovative new open dataset called DriveSeg.

Through the release of DriveSeg, MIT and Toyota are working to advance research in autonomous driving systems that, much like human perception, perceive the driving environment as a continuous flow of visual information.

Read more here.

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About the Author

Photo of Adam Felts
Adam Felts

Adam Felts is a researcher and writer at the MIT AgeLab. He conducts research on the experiences of family caregivers and the future of financial advice. He received his Master's in Fine Arts in Creative Writing from Boston University in 2014 and his Master's of Theological Studies from Boston University in 2019.

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