Dynamic Risk Density for Autonomous Navigation in Cluttered Environments without Object Detection
Non-Exclusively Licensed
Invention type: Technology
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Case number: #21138
An approach to autonomous navigation of a vehicle augments a static map of an environment with a clutter map characterizing a risk of encountering an object that is not represented in the static map of the environment. For example, the clutter map may be based on locations and velocities of those objects, and route planning may avoid planning a path through locations that have a high risk of occupancy, and therefore potential delay or collision.
Researchers
Daniela Rus
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Cristian-Ioan Vasile
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Anshula Gandhi
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Wilko Schwarting
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Alyssa Pierson
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Sertac Karaman
Departments: Dept of Electrical Engineering & Computer Science, Department of Aeronautics and Astronautics
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Industrial Engineering & Automation: Autonomous Systems
Impact Areas: Connected World
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autonomous navigation in a cluttered environment
United States of America | Granted | 11,808,590
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