31 citations · 39 across the 4 of their papers we have counts for
5 papers
Physically Feasible Vehicle Trajectory Prediction
Harshayu Girase, Jerrick Hoang, Sai Yalamanchi +1
Predicting the future motion of actors in a traffic scene is a crucial part of any autonomous driving system. Recent research in this area has focused on trajectory prediction appr…
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…
Goal-Directed Occupancy Prediction for Lane-Following Actors
Poornima Kaniarasu, Galen Clark Haynes, Micol Marchetti-Bowick
Predicting the possible future behaviors of vehicles that drive on shared roads is a crucial task for safe autonomous driving. Many existing approaches to this problem strive to di…
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…
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…