b'Liting Sun'

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Featured Co-authors

Masayoshi Tomizuka
149 publications
Di Wang
126 publications
Xiang Zhang
122 publications
Wei Zhan
79 publications
Changliu Liu
69 publications
Anca D. Dragan
63 publications
Christoph Stiller
42 publications
Jianyu Chen
38 publications
Chen Tang
37 publications
Cheng Peng
35 publications
Mo Chen
25 publications

research

∙ 11/17/2022

Outracing Human Racers with Model-based Autonomous Racing

Autonomous racing has become a popular sub-topic of autonomous driving i...

0 Ce Hao, et al. ∙

research

∙ 07/07/2022

CausalAgents: A Robustness Benchmark for Motion Forecasting using Causal Relationships

As machine learning models become increasingly prevalent in motion forec...

0 Rebecca Roelofs, et al. ∙

research

∙ 02/10/2022

Transferable and Adaptable Driving Behavior Prediction

While autonomous vehicles still struggle to solve challenging situations...

0 Letian Wang, et al. ∙

research

∙ 11/01/2021

Hierarchical Adaptable and Transferable Networks (HATN) for Driving Behavior Prediction

When autonomous vehicles still struggle to solve challenging situations ...

0 Letian Wang, et al. ∙

research

∙ 09/29/2021

Safety Assurances for Human-Robot Interaction via Confidence-aware Game-theoretic Human Models

An outstanding challenge with safety methods for human-robot interaction...

0 Ran Tian, et al. ∙

research

∙ 09/26/2021

Anytime Game-Theoretic Planning with Active Reasoning About Humans' Latent States for Human-Centered Robots

A human-centered robot needs to reason about the cognitive limitation an...

0 Ran Tian, et al. ∙

research

∙ 09/03/2021

Iterative Imitation Policy Improvement for Interactive Autonomous Driving

We propose an imitation learning system for autonomous driving in urban ...

0 Zhao-Heng Yin, et al. ∙

research

∙ 08/14/2021

A Microscopic Pandemic Simulator for Pandemic Prediction Using Scalable Million-Agent Reinforcement Learning

Microscopic epidemic models are powerful tools for government policy mak...

0 Zhenggang Tang, et al. ∙

research

∙ 08/14/2021

Constrained Iterative LQG for Real-Time Chance-Constrained Gaussian Belief Space Planning

Motion planning under uncertainty is of significant importance for safet...

0 Jianyu Chen, et al. ∙

research

∙ 06/04/2021

Negotiation-Aware Reachability-Based Safety Verification for AutonomousDriving in Interactive Scenarios

Safety assurance is a critical yet challenging aspect when developing se...

0 Ran Tian, et al. ∙

research

∙ 03/09/2021

On complementing end-to-end human motion predictors with planning

High capacity end-to-end approaches for human motion prediction have the...

0 Liting Sun, et al. ∙

research

∙ 03/07/2021

Learning Human Rewards by Inferring Their Latent Intelligence Levels in Multi-Agent Games: A Theory-of-Mind Approach with Application to Driving Data

Reward function, as an incentive representation that recognizes humans' ...

0 Ran Tian, et al. ∙

research

∙ 03/01/2021

Diverse Critical Interaction Generation for Planning and Planner Evaluation

Generating diverse and comprehensive interacting agents to evaluate the ...

0 Zhao-Heng Yin, et al. ∙

research

∙ 02/13/2021

Learning Variable Impedance Control via Inverse Reinforcement Learning for Force-Related Tasks

Many manipulation tasks require robots to interact with unknown environm...

0 Xiang Zhang, et al. ∙

research

∙ 02/06/2021

Practical Fractional-Order Variable-Gain Super-Twisting Control with Application to Wafer Stages of Photolithography Systems

In this paper, a practical fractional-order variable-gain super-twisting...

0 Zhian Kuang, et al. ∙

research

∙ 02/06/2021

Feedback-based Digital Higher-order Terminal Sliding Mode for 6-DOF Industrial Manipulators

The precise motion control of a multi-degree of freedom (DOF) robot mani...

0 Zhian Kuang, et al. ∙

research

∙ 01/31/2021

Precise Motion Control of Wafer Stages via Adaptive Neural Network and Fractional-Order Super-Twisting Algorithm

To obtain precise motion control of wafer stages, an adaptive neural net...

0 Zhian Kuang, et al. ∙

research

∙ 01/17/2021

A Safe Hierarchical Planning Framework for Complex Driving Scenarios based on Reinforcement Learning

Autonomous vehicles need to handle various traffic conditions and make s...

0 Jinning Li, et al. ∙

research

∙ 01/15/2021

Interaction-Aware Behavior Planning for Autonomous Vehicles Validated with Real Traffic Data

Autonomous vehicles (AVs) need to interact with other traffic participan...

0 Jinning Li, et al. ∙

research

∙ 11/24/2020

Prediction-Based Reachability for Collision Avoidance in Autonomous Driving

Safety is an important topic in autonomous driving since any collision m...

0 Anjian Li, et al. ∙

research

∙ 11/04/2020

IDE-Net: Interactive Driving Event and Pattern Extraction from Human Data

Autonomous vehicles (AVs) need to share the road with multiple, heteroge...

0 Xiaosong Jia, et al. ∙

research

∙ 10/28/2020

Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Data

As more and more autonomous vehicles (AVs) are being deployed on public ...

0 Letian Wang, et al. ∙

research

∙ 09/03/2020

Bounded Risk-Sensitive Markov Game and Its Inverse Reward Learning Problem

Classical game-theoretic approaches for multi-agent systems in both the ...

12 Ran Tian, et al. ∙

research

∙ 08/20/2020

Expressing Diverse Human Driving Behavior with Probabilistic Rewards and Online Inference

In human-robot interaction (HRI) systems, such as autonomous vehicles, u...

0 Liting Sun, et al. ∙

research

∙ 06/22/2020

Efficient Sampling-Based Maximum Entropy Inverse Reinforcement Learning with Application to Autonomous Driving

In the past decades, we have witnessed significant progress in the domai...

0 Zheng Wu, et al. ∙

research

∙ 01/27/2020

Experimental Evaluation of Human Motion Prediction: Toward Safe and Efficient Human Robot Collaboration

Human motion prediction is non-trivial in modern industrial settings. Ac...

0 Weiye Zhao, et al. ∙

research

∙ 10/22/2019

Multiple criteria decision-making for lane-change model

Simulation has long been an essential part of testing autonomous driving...

0 Ao Li, et al. ∙

research

∙ 09/30/2019

INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Maps

Behavior-related research areas such as motion prediction/planning, repr...

19 Wei Zhan, et al. ∙

research

∙ 07/23/2019

Generic Prediction Architecture Considering both Rational and Irrational Driving Behaviors

Accurately predicting future behaviors of surrounding vehicles is an ess...

0 Yeping Hu, et al. ∙

research

∙ 07/19/2019

Interpretable Modelling of Driving Behaviors in Interactive Driving Scenarios based on Cumulative Prospect Theory

Understanding human driving behavior is important for autonomous vehicle...

0 Liting Sun, et al. ∙

research

∙ 05/02/2019

Behavior Planning of Autonomous Cars with Social Perception

Autonomous cars have to navigate in dynamic environment which can be ful...

0 Liting Sun, et al. ∙

research

∙ 03/06/2019

Towards Better Human Robot Collaboration with Robust Plan Recognition and Trajectory Prediction

Human robot collaboration (HRC) is becoming increasingly important as th...

0 Yujiao Cheng, et al. ∙

research

∙ 09/10/2018

Towards a Fatality-Aware Benchmark of Probabilistic Reaction Prediction in Highly Interactive Driving Scenarios

Autonomous vehicles should be able to generate accurate probabilistic pr...

0 Wei Zhan, et al. ∙

research

∙ 09/09/2018

Probabilistic Prediction of Interactive Driving Behavior via Hierarchical Inverse Reinforcement Learning

Autonomous vehicles (AVs) are on the road. To safely and efficiently int...

0 Liting Sun, et al. ∙

research

∙ 08/08/2018

Courteous Autonomous Cars

Typically, autonomous cars optimize for a combination of safety, efficie...

0 Liting Sun, et al. ∙

research

∙ 07/09/2017

A Fast Integrated Planning and Control Framework for Autonomous Driving via Imitation Learning

For safe and efficient planning and control in autonomous driving, we ne...

0 Liting Sun, et al. ∙

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