HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling
Publication
, Preprint
Huang, X; Rosman, G; Gilitschenski, I; Jasour, A; McGill, SG; Leonard, JJ; Williams, BC
October 5, 2021
Duke Scholars
Publication Date
October 5, 2021
Citation
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Chicago
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MLA
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Huang, X., Rosman, G., Gilitschenski, I., Jasour, A., McGill, S. G., Leonard, J. J., & Williams, B. C. (2021). HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
Adaptive Sampling.
Huang, Xin, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, and Brian C. Williams. “HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
Adaptive Sampling,” October 5, 2021.
Huang X, Rosman G, Gilitschenski I, Jasour A, McGill SG, Leonard JJ, et al. HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
Adaptive Sampling. 2021.
Huang, Xin, et al. HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
Adaptive Sampling. 5 Oct. 2021.
Huang X, Rosman G, Gilitschenski I, Jasour A, McGill SG, Leonard JJ, Williams BC. HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and
Adaptive Sampling. 2021.
Publication Date
October 5, 2021