DeepHybrid: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling

Researchers

John Joseph Leonard / Xin Huang / Ashkan M. Jasour / Stephen McGill / Igor Gilitschenski / Guy Rosman / 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

  • systems and methods for predicting the trajectory of a moving object
    United States of America | Granted | 12,168,461

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