Probabilistic Risk Metrics for Navigating Occluded Intersections

Probabilistic Risk Metrics for Navigating Occluded Intersections

Among traffic accidents in the USA, 23% of fatal and 32% of non-fatal incidents occurred at intersections. For driver assistance systems, intersection navigation remains a difficult problem that is critically important to increasing driver safety. In this letter, we examine how to navigate an unsign...

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Bibliographic Details
Main Authors: Ort, Moses Teddy (Author), Pierson, Alyssa (Author), Gilitschenski, Igor (Author), Araki, Brandon (Author), Karaman, Sertac (Author), Rus, Daniela L (Author), Leonard, John J (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Department of Aeronautics and Astronautics (Contributor), Massachusetts Institute of Technology. Department of Mechanical Engineering (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2020-08-12T15:41:30Z.
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