Hailong Liu - RankMe

53 papers A 1B 3C 7Journal 31Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Educational Human Machine Interface Providing Request-to-Intervene Trigger and Reason Explanation for Enhancing the Driver's Comprehension of ADS's System Limitations. CoRR Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada
2026	J	`jnl`	Data-Driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions With eHMIs: From Psychological States to Walking Behaviors. IEEE Trans. Intell. Transp. Syst. Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada
2026	—	`conf`	MIRAbot: A Robotic Rearview-Mirror Assistant for Conditional Automated Driving. HRI Companion Hyunjung Kim, Max Fischer, Yena Kim, Geumjin Lee, Yanis El Ouali, Shota Kiuchi, Kentaro Honma, Hailong Liu, Toshihiro Hiraoka
2025	J	`jnl`	Data-driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions with eHMIs: From Psychological States to Walking Behaviors. CoRR Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada
2025	J	`jnl`	Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation. Int. J. Hum. Comput. Interact. Zhe Zeng, Xiao Wang, Felix Wilhelm Siebert, Hailong Liu
2025	A	`conf`	Inspiring External Human-Machine Interface Designs for Autonomous Personal Mobility Vehicle: Causal Discovering the Influence of Passengers' Personality Traits on User Experience. IROS Hailong Liu, Zhe Zeng, Yang Li, Hao Cheng, Chen Peng, Takahiro Wada
2025	J	`jnl`	Is Silent External Human-Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field. Int. J. Hum. Comput. Interact. Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada
2025	J	`jnl`	Pre-Instruction for Pedestrians Interacting Autonomous Vehicles With eHMI: Effects on Their Psychology and Walking Behavior. IEEE Trans. Intell. Transp. Syst. Hailong Liu, Takatsugu Hirayama
2025	J	`jnl`	Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path. CoRR Yuya Ide, Hailong Liu, Takahiro Wada
2025	J	`jnl`	Where Do Passengers Gaze? Impact of Passengers' Personality Traits on Their Gaze Pattern Toward Pedestrians During APMV-Pedestrian Interactions with Diverse eHMIs. CoRR Hailong Liu, Zhe Zeng, Takahiro Wada
2024	J	`jnl`	A Digital Human Model for Symptom Progression of Vestibular Motion Sickness based on Subjective Vertical Conflict Theory. CoRR Shota Inoue, Hailong Liu, Takahiro Wada
2024	C	`conf`	An eHMI Presenting Request-to-Intervene Status of Level 3 Automated Vehicles to Surrounding Vehicles. IV Masaki Kuge, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada
2024	C	`conf`	Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs. IV Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada
2024	—	`conf`	Design Exploration of Robotic In-car Accessories for Semi-autonomous Vehicles. HRI (Companion) Hyunjung Kim, Max Fischer, JongIk Jeon, Seunghwa Pyo, Kentaro Honma, Miles Pennington, Hailong Liu, Keisuke Shimono, Toshihiro Hiraoka
2024	—	`conf`	Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI Providing Request-to-Intervene Trigger and Reason Explanation. ICHMS Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada
2024	J	`jnl`	Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles. IEEE Trans. Intell. Transp. Syst. Hailong Liu, Shota Inoue, Takahiro Wada
2023	J	`jnl`	Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation. CoRR Zhe Zeng, Xiao Wang, Felix Wilhelm Siebert, Hailong Liu
2023	J	`jnl`	Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information. CoRR Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada
2023	—	`conf`	Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory. ITSC Yujiro Tamura, Takahiro Wada, Hailong Liu
2023	J	`jnl`	Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks. Int. J. Hum. Comput. Interact. Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales Saiki, Hiroshi Murase
2023	J	`jnl`	Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field. CoRR Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada
2023	J	`jnl`	Pre-instruction for Pedestrians Interacting Autonomous Vehicles with an eHMI: Effects on Their Psychology and Walking Behavior. CoRR Hailong Liu, Takatsugu Hirayama
2023	J	`jnl`	Subjective Vertical Conflict Model with Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles. CoRR Hailong Liu, Shota Inoue, Takahiro Wada
2022	J	`jnl`	Cooperative Path-following Control of Remotely Operated Underwater Robots for Human Visual Inspection Task. CoRR Eito Sato, Hailong Liu, Norimitsu Sakagami, Takahiro Wada
2022	J	`jnl`	GaVe: A Webcam-Based Gaze Vending Interface Using One-Point Calibration. CoRR Zhe Zeng, Sai Liu, Hao Cheng, Hailong Liu, Yang Li, Yu Feng, Felix Wilhelm Siebert
2022	—	`conf`	HMI-based Communication Methods for Negotiation between a Manually Driven Vehicle Driver and an Autonomous Vehicle in an Ambiguous Traffic Scenario. SII Yang Li, Hailong Liu, Barbara Deml
2022	C	`conf`	Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles. IV Hailong Liu, Shota Inoue, Takahiro Wada
2021	—	`conf`	Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. ITSC Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester
2021	J	`jnl`	Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. CoRR Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester
2021	J	`jnl`	Importance of Instruction for Pedestrian-Automated Driving Car Interaction with an External Human Machine Interface. CoRR Hailong Liu, Takatsugu Hirayama, Masaya Watanabe
2021	C	`conf`	Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust, Perceived Risks and Decision Making. IV Hailong Liu, Takatsugu Hirayama, Masaya Watanabe
2021	J	`jnl`	Interaction Detection Between Vehicles and Vulnerable Road Users: A Deep Generative Approach with Attention. CoRR Hao Cheng, Li Feng, Hailong Liu, Takatsugu Hirayama, Hiroshi Murase, Monika Sester
2021	B	`conf`	Manually Driven Vehicle Encounters with Autonomous Vehicle in Bottleneck Roads: HMI Design for Communication Issues. HAI Yang Li, Hailong Liu, Barbara Deml
2020	C	`conf`	Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection. IV Hao Cheng, Hailong Liu, Fumito Shinmura, Naoki Akai, Hiroshi Murase, Takatsugu Hirayama
2020	J	`jnl`	Extracting Human-Like Driving Behaviors From Expert Driver Data Using Deep Learning. IEEE Trans. Veh. Technol. Kyle Sama, Yoichi Morales, Hailong Liu, Naoki Akai, Alexander Carballo, Eijiro Takeuchi, Kazuya Takeda
2020	J	`jnl`	What Timing for an Automated Vehicle to Communicate Its Driving Intentions to Pedestrians for Improving Their Perception of Safety? CoRR Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase
2020	—	`conf`	What Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety? ITSC Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales Saiki, Hiroshi Murase
2020	J	`jnl`	What gaze behavior do pedestrians take in interactions when they do not understand the intention of an automated vehicle? CoRR Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales, Hiroshi Murase
2019	C	`conf`	Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization. IV Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Yasuhiro Akagi, Hailong Liu, Hiroshi Murase
2019	—	`conf`	Driving behavior model considering driver's over-trust in driving automation system. AutomotiveUI (adjunct) Hailong Liu, Toshihiro Hiraoka
2019	J	`jnl`	Explicit behaviors affected by driver's trust in a driving automation system. CoRR Hailong Liu, Toshihiro Hiraoka, Seiya Tanaka
2019	J	`jnl`	Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background. CoRR Hailong Liu, Toshihiro Hiraoka, Takatsugu Hirayama, Dongmin Kim
2018	J	`jnl`	Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder. Sensors Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Takashi Bando
2018	—	`conf`	Driving Feature Extraction and Behavior Classification Using an Autoencoder to Reproduce the Velocity Styles of Experts. ITSC Kyle Sama, Yoichi Morales, Naoki Akai, Hailong Liu, Eijiro Takeuchi, Kazuya Takeda
2018	J	`jnl`	Driving behavior model considering driver's over-trust in driving automation system. CoRR Hailong Liu, Toshihiro Hiraoka
2017	—	`conf`	Prediction of driving behavior based on sequence to sequence model with parametric bias. ITSC Hideaki Misawa, Kazuhito Takenaka, Tomoya Sugihara, Hailong Liu, Tadahiro Taniguchi, Takashi Bando
2017	J	`jnl`	Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning. IEEE Trans. Intell. Transp. Syst. Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando
2016	J	`jnl`	Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer. IEEE Trans. Intell. Transp. Syst. Tadahiro Taniguchi, Kai Furusawa, Hailong Liu, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando
2016	J	`jnl`	Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals. Adv. Robotics Tadahiro Taniguchi, Ryo Nakashima, Hailong Liu, Shogo Nagasaka
2016	—	`conf`	Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder. GCCE Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yusuke Tanaka, Takashi Bando
2015	B	`conf`	Essential feature extraction of driving behavior using a deep learning method. Intelligent Vehicles Symposium Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando
2014	C	`conf`	Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder. CIT Hailong Liu, Tadahiro Taniguchi
2014	B	`conf`	Visualization of driving behavior using deep sparse autoencoder. Intelligent Vehicles Symposium Hailong Liu, Tadahiro Taniguchi, Toshiaki Takano, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando