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...
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.
|
Subjects: | |
Online Access: | Get fulltext |
Similar Items
-
MapLite: Autonomous Intersection Navigation Without a Detailed Prior Map
by: Ort, Moses Teddy, et al.
Published: (2021) -
Sharing is Caring: Socially-Compliant Autonomous Intersection Negotiation
by: Buckman, Noam, et al.
Published: (2020) -
MapLite : autonomous navigation in rural environments without detailed prior maps
by: Ort, Moses Teddy.
Published: (2020) -
Autonomous Vehicle Navigation in Rural Environments Without Detailed Prior Maps
by: Ort, Teddy, et al.
Published: (2021) -
Learning an Explainable Trajectory Generator Using the Automaton Generative Network (AGN)
by: Li, Xiao, et al.
Published: (2022)