DeepHybrid: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Invention type: Technology
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Case number: #23569J
Researchers
Guy Rosman
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Igor Gilitschenski
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Stephen McGill
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Ashkan M. Jasour
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Xin Huang
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John Joseph Leonard
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Brian Charles Williams
Departments: Department of Mechanical Engineering, Department of Aeronautics and Astronautics
Technology Areas: Artificial Intelligence (AI) and Machine Learning (ML) / Computer Science: Networking & Signals / Industrial Engineering & Automation: Logistics
Impact Areas: Advanced Materials
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systems and methods for predicting the trajectory of a moving object
United States of America | Published application
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