autonomous vehicles tagged posts

New Algorithm may help Autonomous Vehicles Navigate Narrow, crowded streets

A CMU team developed a algorithm that could help an autonomous vehicle safely and efficiently navigate narrow, crowded streets like this one.

Autonomous vehicle researchers have tackled navigating a crowded, narrow street, with cars parked on both sides, and not enough space for vehicles traveling in both directions to pass each other. It is a scenario familiar to anyone who has driven down a crowded, narrow street. Parked cars line both sides, and there isn’t enough space for vehicles traveling in both directions to pass each other. One has to duck into a gap in the parked cars or slow and pull over as far as possible for the other to squeeze by.

Drivers find a way to negotiate this, but not without close calls and frustration...

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How to make AI Trustworthy

Self-driving car/Photo credit: Grendelkhan
SELF-DRIVING CAR/PHOTO CREDIT: GRENDELKHAN

New tool might aid the adoption of technologies such as autonomous vehicles. One of the biggest impediments to adoption of new technologies is trust in AI.

Now, a new tool developed by USC Viterbi Engineering researchers generates automatic indicators if data and predictions generated by AI algorithms are trustworthy. Their research paper, “There Is Hope After All: Quantifying Opinion and Trustworthiness in Neural Networks” by Mingxi Cheng, Shahin Nazarian and Paul Bogdan of the USC Cyber Physical Systems Group, was featured in Frontiers in Artificial Intelligence.

Neural networks are a type of artificial intelligence that are modeled after the brain and generate predictions...

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