Xin Huang

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 23

Top Topics

Latent Semantic

Dynamic Environments

Autonomous Vehicles

Top Venues

IEEE Robotics Autom. Lett.

Publications

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
GAME-UP: Game-Aware Mode Enumeration and Understanding for Trajectory Prediction. CoRR (2023)
Yen-Ling Kuo, Xin Huang, Andrei Barbu, Stephen G. McGill, Boris Katz, John J. Leonard, Guy Rosman
Trajectory Prediction with Linguistic Representations. ICRA (2022)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. ICRA (2022)
Majid Khonji, Rashid Alyassi, Wolfgang Merkt, Areg Karapetyan, Xin Huang, Sungkweon Hong, Jorge Dias, Brian C. Williams
Multi-Agent Chance-Constrained Stochastic Shortest Path with Application to Risk-Aware Intelligent Intersection. CoRR (2022)
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. Auton. Robots 46 (1) (2022)
Rashid Alyassi, Majid Khonji, Xin Huang, Sungkweon Hong, Jorge Dias
Contingency-Aware Intersection System for Autonomous and Human-Driven Vehicles with Bounded Risk. SSRR (2021)
Xin Huang, Guy Rosman, Igor Gilitschenski, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
HYPER: Learned Hybrid Trajectory Prediction via Factored Inference and Adaptive Sampling. CoRR (2021)
Ashkan Jasour, Xin Huang, Allen Wang, Brian C. Williams
Fast nonlinear risk assessment for autonomous vehicles using learned conditional probabilistic models of agent futures. CoRR (2021)
Sungkweon Hong, Sang Uk Lee, Xin Huang, Majid Khonji, Rashid Alyassi, Brian C. Williams
An Anytime Algorithm for Chance Constrained Stochastic Shortest Path Problems and Its Application to Aircraft Routing. ICRA (2021)
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian Charles Williams
Risk Conditioned Neural Motion Planning. CoRR (2021)
Xin Huang, Meng Feng, Ashkan Jasour, Guy Rosman, Brian C. Williams
Risk Conditioned Neural Motion Planning. IROS (2021)
Xin Huang, Guy Rosman, Ashkan Jasour, Stephen G. McGill, John J. Leonard, Brian C. Williams
TIP: Task-Informed Motion Prediction for Intelligent Systems. CoRR (2021)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. IEEE Robotics Autom. Lett. 6 (3) (2021)
Allen Wang, Xin Huang, Ashkan Jasour, Brian C. Williams
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. CoRR (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
CARPAL: Confidence-Aware Intent Recognition for Parallel Autonomy. CoRR (2020)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Luke Fletcher, John J. Leonard, Brian C. Williams, Guy Rosman
DiversityGAN: Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. IEEE Robotics Autom. Lett. 5 (4) (2020)
Allen Wang, Xin Huang, Ashkan Jasour, Brian Charles Williams
Fast Risk Assessment for Autonomous Vehicles Using Learned Models of Agent Futures. Robotics: Science and Systems (2020)
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. CoRR (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. ICRA (2019)
Xin Huang, Stephen G. McGill, Jonathan A. DeCastro, Brian C. Williams, Luke Fletcher, John J. Leonard, Guy Rosman
Diversity-Aware Vehicle Motion Prediction via Latent Semantic Sampling. CoRR (2019)
Xin Huang, Stephen G. McGill, Brian C. Williams, Luke Fletcher, Guy Rosman
Uncertainty-Aware Driver Trajectory Prediction at Urban Intersections. CoRR (2019)
Xin Huang, Sungkweon Hong, Andreas G. Hofmann, Brian C. Williams
Online Risk-Bounded Motion Planning for Autonomous Vehicles in Dynamic Environments. ICAPS (2019)
Xin Huang, Ashkan Jasour, Matthew Deyo, Andreas G. Hofmann, Brian C. Williams
Hybrid Risk-Aware Conditional Planning with Applications in Autonomous Vehicles. CDC (2018)
Zachary Dodds, Kristina Ming, Christopher Eriksen, Shih-Chieh Hsiung, Xin Huang, Zakkai Davidson
A Computational Focus For Robotics Education. AAAI Spring Symposia (2014)