Parallel Autonomy in Automated Vehicles: Safe Motion Generation with Minimal Intervention

Parallel Autonomy in Automated Vehicles: Safe Motion Generation with Minimal Intervention

Current state-of-the-art vehicle safety systems, such as assistive braking or automatic lane following, are still only able to help in relatively simple driving situations. We introduce a Parallel Autonomy shared-control framework that produces safe trajectories based on human inputs even in much mo...

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Bibliographic Details
Main Authors: Schwarting, Wilko (Contributor), Alonso Mora, Javier (Contributor), Paull, Liam (Contributor), Karaman, Sertac (Contributor), Rus, Daniela L (Contributor)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor), Massachusetts Institute of Technology. Laboratory for Information and Decision Systems (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers (IEEE), 2017-06-28T20:28:36Z.
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