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cs.LG2020
Interaction-Based Trajectory Prediction Over a Hybrid Traffic Graph
Sumit Kumar, Yiming Gu, Jerrick Hoang +2
Behavior prediction of traffic actors is an essential component of any real-world self-driving system. Actors' long-term behaviors tend to be governed by their interactions with ot…
cs.LG2020
Map-Adaptive Goal-Based Trajectory Prediction
Lingyao Zhang, Po-Hsun Su, Jerrick Hoang +2
We present a new method for multi-modal, long-term vehicle trajectory prediction. Our approach relies on using lane centerlines captured in rich maps of the environment to generate…
cs.LG2018
Hybrid Subspace Learning for High-Dimensional Data
Micol Marchetti-Bowick, Benjamin J. Lengerich, Ankur P. Parikh +1
The high-dimensional data setting, in which p >> n, is a challenging statistical paradigm that appears in many real-world problems. In this setting, learning a compact, low-dimensi…