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24 05 2018 02

At the International Conference on Robotics and Automation (ICRA) taking place in Brisbane, Australia, today (May 23), researchers from the Massachusetts Institute of Technology (MIT) will present a new system that enables driverless cars to change lanes more like human drivers.

Algorithms for controlling lane changes are an important topic of study in the field of self-driving cars. But most existing lane-change algorithms have one of two drawbacks: either they rely on detailed statistical models of the driving environment, which are difficult to assemble and too complex to analyze on the fly; or they are so simple that they can lead to impractically conservative decisions, such as never changing lanes at all.

The new lane-change algorithm developed at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) splits the difference between the two models and allows for more aggressive lane changes than the simple versions do, but relies only on immediate information about other vehicles’ directions and velocities to make decisions.

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Tags: Mobility

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