Ding Zhao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Privacy Risks in Reinforcement Learning for Household Robots.

[BibT_eX]

[DOI]

Miao Li

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Feasibility Consistent Representation Learning for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer.

[BibT_eX]

[DOI]

Xingyu Liu

Deepak Pathak

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning from Sparse Offline Datasets via Conservative Density Estimation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Fast Frequency-Direction Mapping Design for Data Communication With True-Time-Delay Array Architecture.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Computing, Networking and Communications, 2024

RealGen: Retrieval Augmented Generation for Controllable Traffic Scenarios.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

MMSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Pixel-wise Smoothing for Certified Robustness against Camera Motion Perturbations.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Semantic Traffic Law Adaptive Decision-Making for Self-Driving Vehicles.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., December, 2023

A Survey on Safety-Critical Driving Scenario Generation - A Methodological Perspective.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2023

Safety-aware Causal Representation for Trustworthy Reinforcement Learning in Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Creative Robot Tool Use with Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2023

Guardians as You Fall: Active Mode Transition for Safe Falling.

[BibT_eX]

[DOI]

CoRR, 2023

Contextual Biasing with the Knuth-Morris-Pratt Matching Algorithm.

[BibT_eX]

[DOI]

Weiran Wang

Zelin Wu

Diamantino Caseiro

Tsendsuren Munkhdalai

Pedro Moreno Mengibar

CoRR, 2023

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2023

Datasets and Benchmarks for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Your Room is not Private: Gradient Inversion Attack for Deep Q-Learning.

[BibT_eX]

[DOI]

Miao Li

CoRR, 2023

MultiSum: A Dataset for Multimodal Summarization and Thumbnail Generation of Videos.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Representation Learning of Cardiovascular Magnetic Resonance Imaging.

[BibT_eX]

[DOI]

CoRR, 2023

Converting ECG Signals to Images for Efficient Image-text Retrieval via Encoding.

[BibT_eX]

[DOI]

CoRR, 2023

Interpolation for Robust Learning: Data Augmentation on Geodesics.

[BibT_eX]

[DOI]

CoRR, 2023

LiveSeg: Unsupervised Multimodal Temporal Segmentation of Long Livestream Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Shared Safety Constraints from Multi-task Demonstrations.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reducing Contextual Bias in Cardiac Magnetic Resonance Imaging Deep Learning Using Contrastive Self-Supervision.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2023

Automated Cardiovascular Record Retrieval by Multimodal Learning between Electrocardiogram and Clinical Report.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Health, 2023

Digitization of Traffic Laws: Methodologies and Usage for Monitoring Driving Compliance.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

GOATS: Goal Sampling Adaptation for Scooping with Curriculum Reinforcement Learning.

[BibT_eX]

[DOI]

IROS, 2023

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments.

[BibT_eX]

[DOI]

IROS, 2023

Learning to View: Decision Transformers for Active Object Detection.

[BibT_eX]

[DOI]

Rajasimman Madhivanan

Arnie Sen

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Interpolation for Robust Learning: Data Augmentation on Wasserstein Geodesics.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Constrained Decision Transformer for Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards Robust and Safe Reinforcement Learning with Benign Off-policy Data.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Bayesian Reparameterization of Reward-Conditioned Reinforcement Learning with Energy-based Models.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Hyper-Decision Transformer for Efficient Online Policy Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

On the Robustness of Safe Reinforcement Learning under Observational Perturbations.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Output RNN-T Joint Networks for Multi-Task Learning of ASR and Auxiliary Tasks.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Cardiac Disease Diagnosis on Imbalanced Electrocardiography Data Through Optimal Transport Augmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2023

Structured Two-Stage True-Time-Delay Array Code book Design for Multi - User Data Communication.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2023

Can Brain Signals Reveal Inner Alignment with Human Languages?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Transfer Knowledge from Natural Language to Electrocardiography: Can We Detect Cardiovascular Disease Through Language Models?

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Continual Vision-based Reinforcement Learning with Group Symmetries.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2023

Group Distributionally Robust Reinforcement Learning with Hierarchical Latent Variables.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

SCCS: Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Rare-event Simulation for Neural Network and Random Forest Predictors.

[BibT_eX]

[DOI]

ACM Trans. Model. Comput. Simul., 2022

Understanding V2V Driving Scenarios Through Traffic Primitives.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Guest Editorial Special Issue on Artificial Intelligence for Autonomous Unmanned System Applications.

[BibT_eX]

[DOI]

IEEE Trans Autom. Sci. Eng., 2022

Are Multimodal Models Robust to Image and Text Perturbations?

[BibT_eX]

[DOI]

CoRR, 2022

Digitization of Chinese Traffic Laws: Methodologies, Quantative Analysis, and Usage for Monitoring Driving Compliance.

[BibT_eX]

[DOI]

CoRR, 2022

Continual Reinforcement Learning with Group Symmetries.

[BibT_eX]

[DOI]

CoRR, 2022

Semantics-Consistent Cross-domain Summarization via Optimal Transport Alignment.

[BibT_eX]

[DOI]

CoRR, 2022

Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability.

[BibT_eX]

[DOI]

CoRR, 2022

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions.

[BibT_eX]

[DOI]

CoRR, 2022

An Empirical Exploration of Cross-domain Alignment between Language and Electroencephalogram.

[BibT_eX]

[DOI]

CoRR, 2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles.

[BibT_eX]

[DOI]

CoRR, 2022

MHMS: Multimodal Hierarchical Multimedia Summarization.

[BibT_eX]

[DOI]

CoRR, 2022

Test Against High-Dimensional Uncertainties: Accelerated Evaluation of Autonomous Vehicles with Deep Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Bo Li

CoRR, 2022

Optimal Transport based Data Augmentation for Heart Disease Diagnosis and Prediction.

[BibT_eX]

[DOI]

CoRR, 2022

Joint Transmit and Reflective Beamforming for IRS-Assisted Integrated Sensing and Communication.

[BibT_eX]

[DOI]

Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Generalizing Goal-Conditioned Reinforcement Learning with Variational Causal Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

GeoECG: Data Augmentation via Wasserstein Geodesic Perturbation for Robust Electrocardiogram Prediction.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning for Healthcare Conference, 2022

Road Traffic Law Adaptive Decision-making for Self-Driving Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Coalitional Fairness of Autonomous Vehicles at a T-Intersection.

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Certifiable Evaluation for Autonomous Vehicle Perception Systems using Deep Importance Sampling (Deep IS).

[BibT_eX]

[DOI]

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Scalable Safety-Critical Policy Evaluation with Accelerated Rare Event Sampling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Improve Speech Enhancement using Perception-High-Related Time-Frequency Loss.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Federated Pruning: Improving Neural Network Efficiency with Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes.

[BibT_eX]

[DOI]

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Robust Reinforcement Learning as a Stackelberg Game via Adaptively-Regularized Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Prompting Decision Transformer for Few-Shot Policy Generalization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Constrained Variational Policy Optimization for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

CROP: Certifying Robust Policies for Reinforcement Learning through Functional Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

COPA: Certifying Robust Policies for Offline Reinforcement Learning against Poisoning Attacks.

[BibT_eX]

[DOI]

Krishnaram Kenthapadi

Bo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Robustness Certification of Visual Perception Models via Camera Motion Smoothing.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

CausalAF: Causal Autoregressive Flow for Safety-Critical Driving Scenario Generation.

[BibT_eX]

[DOI]

Proceedings of the Conference on Robot Learning, 2022

PhysioMTL: Personalizing Physiological Patterns using Optimal Transport Multi-Task Regression.

[BibT_eX]

[DOI]

Proceedings of the Conference on Health, Inference, and Learning, 2022

2021

How to Evaluate Proving Grounds for Self-Driving? A Quantitative Approach.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Highway Exiting Planner for Automated Vehicles Using Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

Multimodal Safety-Critical Scenarios Generation for Decision-Making Algorithms Evaluation.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2021

Delay-aware model-based reinforcement learning for continuous control.

[BibT_eX]

[DOI]

Neurocomputing, 2021

CausalAF: Causal Autoregressive Flow for Goal-Directed Safety-Critical Scenes Generation.

[BibT_eX]

[DOI]

CoRR, 2021

Accelerated Policy Evaluation: Learning Adversarial Environments with Adaptive Importance Sampling.

[BibT_eX]

[DOI]

CoRR, 2021

Semantically Controllable Scene Generation with Guidance of Explicit Knowledge.

[BibT_eX]

[DOI]

CoRR, 2021

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles.

[BibT_eX]

[DOI]

CoRR, 2021

Functional Optimal Transport: Mapping Estimation and Domain Adaptation for Functional data.

[BibT_eX]

[DOI]

CoRR, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.

[BibT_eX]

[DOI]

CoRR, 2021

Personalized Keyphrase Detection Using Speaker and Environment Information.

[BibT_eX]

[DOI]

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Context-Aware Safe Reinforcement Learning for Non-Stationary Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Dynamic Sparsity Neural Networks for Automatic Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

Deep Probabilistic Accelerated Evaluation: A Robust Certifiable Rare-Event Simulation Methodology for Black-Box Safety-Critical Systems.

[BibT_eX]

[DOI]

Guru Koushik Senthil Kumar

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Clustering of Driving Encounter Scenarios Using Connected Vehicle Trajectories.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., 2020

Safe Model-based Reinforcement Learning with Robust Cross-Entropy Method.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Probabilistic Accelerated Evaluation: A Certifiable Rare-Event Simulation Methodology for Black-Box Autonomy.

[BibT_eX]

[DOI]

Guru Koushik Senthil Kumar

CoRR, 2020

Robust Unsupervised Learning of Temporal Dynamic Interactions.

[BibT_eX]

[DOI]

CoRR, 2020

Delay-Aware Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A Streaming On-Device End-to-End Model Surpassing Server-Side Conventional Model Quality and Latency.

[BibT_eX]

[DOI]

CoRR, 2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.

[BibT_eX]

[DOI]

Minjun Xu

CoRR, 2020

Advanced Driver Assistance Strategies for a Single-Vehicle Overtaking a Platoon on the Two-Lane Two-Way Road.

[BibT_eX]

[DOI]

IEEE Access, 2020

SAnE: Smart Annotation and Evaluation Tools for Point Cloud Data.

[BibT_eX]

[DOI]

IEEE Access, 2020

Task-Agnostic Online Reinforcement Learning with an Infinite Mixture of Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020

MAPPER: Multi-Agent Path Planning with Evolutionary Reinforcement Learning in Mixed Dynamic Environments.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Learning to Collide: An Adaptive Safety-Critical Scenarios Generating Method.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

CMTS: A Conditional Multiple Trajectory Synthesizer for Generating Safety-Critical Driving Scenarios.

[BibT_eX]

[DOI]

Mengdi Xu

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

A Streaming On-Device End-To-End Model Surpassing Server-Side Conventional Model Quality and Latency.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019

Driving Style Analysis Using Primitive Driving Patterns With Bayesian Nonparametric Approaches.

[BibT_eX]

[DOI]

Junqiang Xi

IEEE Trans. Intell. Transp. Syst., 2019

Improving Localization Accuracy in Connected Vehicle Networks Using Rao-Blackwellized Particle Filters: Theory, Simulations, and Experiments.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2019

Destriping Algorithms Based on Statistics and Spatial Filtering for Visible-to-Thermal Infrared Pushbroom Hyperspectral Imagery.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2019

Recurrent Attentive Neural Process for Sequential Data.

[BibT_eX]

[DOI]

CoRR, 2019

Probabilistic Trajectory Prediction for Autonomous Vehicles with Attentive Recurrent Neural Process.

[BibT_eX]

[DOI]

CoRR, 2019

Multi-Vehicle Interaction Scenarios Generation with Interpretable Traffic Primitives and Gaussian Process Regression.

[BibT_eX]

[DOI]

Weiyang Zhang

CoRR, 2019

Active Learning for Risk-Sensitive Inverse Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Videos.

[BibT_eX]

[DOI]

CoRR, 2019

Assessing Modeling Variability in Autonomous Vehicle Accelerated Evaluation.

[BibT_eX]

[DOI]

CoRR, 2019

A General Framework of Learning Multi-Vehicle Interaction Patterns from Video.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Evaluation Uncertainty in Data-Driven Self-Driving Testing.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Modeling Multi-Vehicle Interaction Scenarios Using Gaussian Random Field.

[BibT_eX]

[DOI]

Yaohui Guo

Vinay Varma Kalidindi

Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Shallow-Fusion End-to-End Contextual Biasing.

[BibT_eX]

[DOI]

Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Where Should We Place LiDARs on the Autonomous Vehicle? - An Optimal Design Approach.

[BibT_eX]

[DOI]

Zuxin Liu

Proceedings of the International Conference on Robotics and Automation, 2019

A Multi-Vehicle Trajectories Generator to Simulate Vehicle-to-Vehicle Encountering Scenarios.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Robotics and Automation, 2019

Streaming End-to-end Speech Recognition for Mobile Devices.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

Density-Adaptive Sampling for Heterogeneous Point Cloud Object Segmentation in Autonomous Vehicle Applications.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018

A Learning-Based Approach for Lane Departure Warning Systems With a Personalized Driver Model.

[BibT_eX]

[DOI]

IEEE Trans. Veh. Technol., 2018

Learning and Inferring a Driver's Braking Action in Car-Following Scenarios.

[BibT_eX]

[DOI]

Junqiang Xi

IEEE Trans. Veh. Technol., 2018

Accelerated Evaluation of Automated Vehicles in Car-Following Maneuvers.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

The Impact of Road Configuration in V2V-Based Cooperative Localization: Mathematical Analysis and Real-World Evaluation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

Accelerated Evaluation of Automated Vehicles Using Piecewise Mixture Models.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2018

Extracting Traffic Primitives Directly From Naturalistically Logged Data for Self-Driving Applications.

[BibT_eX]

[DOI]

IEEE Robotics Autom. Lett., 2018

Multi-Vehicle Trajectories Generation for Vehicle-to-Vehicle Encounters.

[BibT_eX]

[DOI]

CoRR, 2018

An "Xcity" Optimization Approach to Designing Proving Grounds for Connected and Autonomous Vehicles.

[BibT_eX]

[DOI]

Rui Chen

CoRR, 2018

Understanding V2V Driving Scenarios through Traffic Primitives.

[BibT_eX]

[DOI]

Weiyang Zhang

CoRR, 2018

Clustering of Driving Scenarios Using Connected Vehicle Datasets.

[BibT_eX]

[DOI]

Aditya Ramesh

CoRR, 2018

An Optimal LiDAR Configuration Approach for Self-Driving Cars.

[BibT_eX]

[DOI]

CoRR, 2018

Fuel Economy and Emission Testing for Connected and Automated Vehicles Using Real-world Driving Datasets.

[BibT_eX]

[DOI]

Yan Chang

Weiqing Yang

CoRR, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-produced Autonomous Vehicles on Public Streets.

[BibT_eX]

[DOI]

Peter W. Glynn

CoRR, 2018

Interpenetrating Cooperative Localization in Dynamic Connected Vehicle Networks.

[BibT_eX]

[DOI]

CoRR, 2018

Clustering of Naturalistic Driving Encounters Using Unsupervised Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Extracting V2V Encountering Scenarios from Naturalistic Driving Database.

[BibT_eX]

[DOI]

CoRR, 2018

Rare-Event simulation without Structural Information: a Learning-based Approach.

[BibT_eX]

[DOI]

Proceedings of the 2018 Winter Simulation Conference, 2018

Designing Importance samplers to simulate Machine Learning Predictors via Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2018 Winter Simulation Conference, 2018

Deep Context: End-to-end Contextual Speech Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Spoken Language Technology Workshop, 2018

Cluster Naturalistic Driving Encounters Using Deep Unsupervised Learning.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018

A Tempt to Unify Heterogeneous Driving Databases using Traffic Primitives.

[BibT_eX]

[DOI]

Jiacheng Zhu

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Accelerated Evaluation of Autonomous Vehicles in the Lane Change Scenario Based on Subset Simulation Technique.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Synthesis of Different Autonomous Vehicles Test Approaches.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Evaluation of the Energy Efficiency in a Mixed Traffic with Automated Vehicles and Human Controlled Vehicles.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

Energy Efficiency and Emission Testing for Connected and Automated Vehicles Using Real-World Driving Data.

[BibT_eX]

[DOI]

Yan Chang

Weiqing Yang

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

An Accelerated Approach to Safely and Efficiently Test Pre-Production Autonomous Vehicles on Public Streets.

[BibT_eX]

[DOI]

Peter W. Glynn

Proceedings of the 21st International Conference on Intelligent Transportation Systems, 2018

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.

[BibT_eX]

[DOI]

Proceedings of the 2018 Annual American Control Conference, 2018

2017

Evaluation of Lane Departure Correction Systems Using a Regenerative Stochastic Driver Model.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Veh., 2017

How Much Data Are Enough? A Statistical Approach With Case Study on Longitudinal Driving Behavior.

[BibT_eX]

[DOI]

Chang Liu

IEEE Trans. Intell. Veh., 2017

Accelerated Evaluation of Automated Vehicles Safety in Lane-Change Scenarios Based on Importance Sampling Techniques.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2017

Empirical Study of DSRC Performance Based on Safety Pilot Model Deployment Data.

[BibT_eX]

[DOI]

Xianan Huang

Huei Peng

IEEE Trans. Intell. Transp. Syst., 2017

A Versatile Approach to Evaluating and Testing Automated Vehicles based on Kernel Methods.

[BibT_eX]

[DOI]

CoRR, 2017

Semi-Interpenetrating Cooperative Localization in Connected Vehicle Networks.

[BibT_eX]

[DOI]

CoRR, 2017

A Kinodynamic Aggressive Trajectory Planner For Narrow Passages.

[BibT_eX]

[DOI]

CoRR, 2017

Optimal design of three-planetary-gear power-split hybrid powertrains.

[BibT_eX]

[DOI]

CoRR, 2017

Analysis of mandatory and discretionary lane change behaviors for heavy trucks.

[BibT_eX]

[DOI]

CoRR, 2017

From the Lab to the Street: Solving the Challenge of Accelerating Automated Vehicle Testing.

[BibT_eX]

[DOI]

Huei Peng

CoRR, 2017

Evaluation of Lane Departure Correction Systems Using a Stochastic Driver Model.

[BibT_eX]

[DOI]

CoRR, 2017

How Much Data is Enough? A Statistical Approach with Case Study on Longitudinal Driving Behavior.

[BibT_eX]

[DOI]

Chang Liu

CoRR, 2017

Sequential experimentation to efficiently test automated vehicles.

[BibT_eX]

[DOI]

Proceedings of the 2017 Winter Simulation Conference, 2017

The Impact of Road Configuration on V2V-Based Cooperative Localization.

[BibT_eX]

[DOI]

Proceedings of the 85th IEEE Vehicular Technology Conference, 2017

Evaluation of a semi-autonomous lane departure correction system using naturalistic driving data.

[BibT_eX]

[DOI]

David J. LeBlanc

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Analysis of unprotected intersection left-turn conflicts based on naturalistic driving data.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Towards secure and safe appified automated vehicles.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

Evaluation of automated vehicles encountering pedestrians at unsignalized crossings.

[BibT_eX]

[DOI]

Baiming Chen

Huei Peng

Proceedings of the IEEE Intelligent Vehicles Symposium, 2017

TrafficNet: An open naturalistic driving scenario library.

[BibT_eX]

[DOI]

Yaohui Guo

Yunhan Jack Jia

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Optimization of vehicle connections in V2V-based cooperative localization.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

An accelerated testing approach for automated vehicles with background traffic described by joint distributions.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Towards affordable on-track testing for autonomous vehicle - A Kriging-based statistical approach.

[BibT_eX]

[DOI]

Proceedings of the 20th IEEE International Conference on Intelligent Transportation Systems, 2017

Evaluation of automated vehicles in the frontal cut-in scenario - An enhanced approach using piecewise mixture models.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Development and evaluation of two learning-based personalized driver models for car-following behaviors.

[BibT_eX]

[DOI]

Proceedings of the 2017 American Control Conference, 2017

2016

Gap Acceptance During Lane Changes by Large-Truck Drivers - An Image-Based Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2016

Accelerated Evaluation of Automated Vehicles based on Importance Sampling Techniques.

[BibT_eX]

[DOI]

CoRR, 2016

Accelerated Evaluation of Automated Vehicles using Piecewise Mixture Distribution Models.

[BibT_eX]

[DOI]

CoRR, 2016

Enhancement of low-cost GNSS localization in connected vehicle networks using Rao-Blackwellized particle filters.

[BibT_eX]

[DOI]