insights

Bringing human-like reasoning to driverless car navigation

MIT's latest paper gives insights on how driverless cars are getting closer to reality - by imitating humans.

MIT researchers have published a paper describing how their new autonomous navigation system should enable a car to drive autonomously by imitating human steering behaviour. The human feature that machines are missing (for now) is human reasoning: being able to drive on a road that you haven't seen before by comparing it to other roads you might previously have seen. The model's novelty lies in its ability to navigate on roads it hasn't previously seen, by comparing it to roads it has seen before, and using map data. This promising approach aims to solve issues with failing sensors and missing information.

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