Xin Huang

33 papers A* 6A 4Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2023 J jnl
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction.
CoRR
Justin Lidard, Oswin So, Yanxia Zhang, Jonathan A. DeCastro, Xiongyi Cui, Xin Huang, Yen-Ling Kuo, John J. Leonard, Avinash Balachandran, Naomi Ehrich Leonard, Guy Rosman
2023 A conf
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving.
IROS
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
2022 J jnl
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures.
Auton. Robots
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
2022 A* conf
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.
ICRA
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022 A conf
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling.
IROS
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
2022 J jnl
InterSim: Interactive Traffic Simulation via Explicit Relation Modeling.
CoRR
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
2022 A* conf
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction.
CVPR
Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao
2022 J jnl
M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction.
CoRR
Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao
2022 J jnl
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection.
CoRR
Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams
2022 J jnl
P4P: Conflict-Aware Motion Prediction for Planning in Autonomous Driving.
CoRR
Qiao Sun, Xin Huang, Brian C. Williams, Hang Zhao
2022 A conf
TIP: Task-Informed Motion Prediction for Intelligent Vehicles.
IROS
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2022 A* conf
Trajectory Prediction with Linguistic Representations.
ICRA
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2022 J jnl
VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction.
CoRR
Xin Huang, Xiaoyu Tian, Junru Gu, Qiao Sun, Hang Zhao
2021 A* conf
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing.
ICRA
Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams
2021 J jnl
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.
IEEE Robotics Autom. Lett.
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2021 — conf
Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk.
SSRR
Rashid Alyassi, Majid Khonji, Xin Huang, Sungkweon Hong, Jorge Dias
2021 J jnl
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures.
CoRR
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
2021 J jnl
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling.
CoRR
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021 A conf
Risk Conditioned Neural Motion Planning.
IROS
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams
2021 J jnl
Risk Conditioned Neural Motion Planning.
CoRR
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams
2021 J jnl
TIP: Task-Informed Motion Prediction for Intelligent Systems.
CoRR
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
2021 J jnl
Trajectory Prediction with Linguistic Representations.
CoRR
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
2020 J jnl
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy.
CoRR
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2020 J jnl
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
IEEE Robotics Autom. Lett.
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
2020 — conf
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures.
Robotics: Science and Systems
Allen Wang, Xin Huang, Ashkan Jasour, Brian Charles Williams
2020 J jnl
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures.
CoRR
Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams
2019 J jnl
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling.
CoRR
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
2019 A* conf
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments.
ICAPS
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
2019 J jnl
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments.
CoRR
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
2019 A* conf
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.
ICRA
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
2019 J jnl
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections.
CoRR
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
2018 — conf
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles.
CDC
Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams
2014 — conf
A Computational Focus For Robotics Education.
AAAI Spring Symposia
Zachary Dodds, Kristina Ming, Christopher Eriksen, Shih-Chieh Hsiung, Xin Huang, Zakkai Davidson