MIT’s CSAIL develops new lane-change algorithms for self-driving cars
New algorithms have been tested extensively in simulation, but not in real-world scenarios
Researchers at MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed new lane-change algorithms for self-driving cars that allow for more aggressive lane changes like human drivers do, MIT said in a press release this week. The algorithms rely only on immediate information about other vehicles’ direction and velocities to make decision. CSAIL researchers presented the new lane-change algorithms at the International Conference on Robotics and Automation in Brisbane, Australia yesterday (23 May).
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