One of the biggest problems with self-driving systems is that they can see the road perfectly well and still make shaky short-term decisions in messy city traffic. The advanced systems struggle to keep up with complex and fluctuating road situations. But a new study argues that these cars don’t need better vision, but a better memory.
In the peer-reviewed paper KEPT (Knowledge-Enhanced Prediction of Trajectories from Consecutive Driving Frames with Vision-Language Models), researchers from Tongji University and collaborators developed a system that helps autonomous vehicles “remember” past driving scenes before choosing what to do next.
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Autonomous Ford car Stephen Edelstein / Digital TrendsHow does this new self-driving tech work?
The method, called KEPT, uses front-view camera video, compares it with a large library of earlier real-world driving clips, and then predicts a safer short-term trajectory based
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