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ORCIDHailong Liu 0001
Person information
- affiliation: Nara Institute of Science and Technology (NAIST), Graduate School of Science and Technology, Japan
- affiliation (PhD 2018): Ritsumeikan University, Japan
Other persons with the same name
- Hailong Liu (aka: Hai-long Liu) — disambiguation page
- Hailong Liu 0002
![[0009-0008-2125-5535]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0008-2125-5535")
— Chinese Academy of Sciences (CAS), Changchun Institute of Optics, Fine Mechanics and Physics, China
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2020 – today
- 2026
[j11]Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada:
Data-Driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions With eHMIs: From Psychological States to Walking Behaviors. IEEE Trans. Intell. Transp. Syst. 27(2): 1921-1936 (2026)- [c21]Hyunjung Kim, Max Fischer, Yena Kim, Geumjin Lee, Yanis El Ouali, Shota Kiuchi, Kentaro Honma, Hailong Liu, Toshihiro Hiraoka:
MIRAbot: A Robotic Rearview-Mirror Assistant for Conditional Automated Driving. HRI Companion 2026: 491-496 - 2025
- [j10]Zhe Zeng, Xiao Wang, Felix Wilhelm Siebert, Hailong Liu:
Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation. Int. J. Hum. Comput. Interact. 41(1): 161-173 (2025) - [j9]Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada:
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. 41(2): 891-905 (2025) - [j8]Hailong Liu, Takatsugu Hirayama:
Pre-Instruction for Pedestrians Interacting Autonomous Vehicles With eHMI: Effects on Their Psychology and Walking Behavior. IEEE Trans. Intell. Transp. Syst. 26(8): 11313-11324 (2025) - [i13]Hailong Liu, Zhe Zeng, Takahiro Wada:
Where Do Passengers Gaze? Impact of Passengers' Personality Traits on Their Gaze Pattern Toward Pedestrians During APMV-Pedestrian Interactions with Diverse eHMIs. CoRR abs/2502.02792 (2025) - [i12]Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada:
Data-driven Causal Discovery for Pedestrians-Autonomous Personal Mobility Vehicle Interactions with eHMIs: From Psychological States to Walking Behaviors. CoRR abs/2502.02805 (2025) - [i11]Yuya Ide, Hailong Liu, Takahiro Wada:
Reducing Motion Sickness in Passengers of Autonomous Personal Mobility Vehicles by Presenting a Driving Path. CoRR abs/2506.23457 (2025) - 2024
- [j7]Hailong Liu, Shota Inoue, Takahiro Wada:
Subjective Vertical Conflict Model With Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles. IEEE Trans. Intell. Transp. Syst. 25(8): 9878-9894 (2024) - [c20]Hyunjung Kim, Max Fischer, Jongik Jeon, Seunghwa Pyo, Kentaro Honma, Miles Pennington, Hailong Liu, Keisuke Shimono, Toshihiro Hiraoka:
Design Exploration of Robotic In-car Accessories for Semi-autonomous Vehicles. HRI (Companion) 2024: 603-607 - [c19]Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada:
Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI Providing Request-to-Intervene Trigger and Reason Explanation. ICHMS 2024: 1-7 - [c18]Masaki Kuge, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada:
An eHMI Presenting Request-to-Intervene Status of Level 3 Automated Vehicles to Surrounding Vehicles. IV 2024: 2970-2975 - [c17]Hailong Liu, Yang Li, Toshihiro Hiraoka, Takahiro Wada:
Causal Discovery from Psychological States to Walking Behaviors for Pedestrians Interacting an APMV Equipped with eHMIs. IV 2024: 2976-2982 - [i10]Shota Inoue, Hailong Liu, Takahiro Wada:
A Digital Human Model for Symptom Progression of Vestibular Motion Sickness based on Subjective Vertical Conflict Theory. CoRR abs/2406.16737 (2024) - 2023
- [j6]Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales Saiki, Hiroshi Murase:
Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians' Gaze Behavior with Situation Awareness and Perceived Risks. Int. J. Hum. Comput. Interact. 39(10): 2016-2032 (2023) - [c16]Yujiro Tamura, Takahiro Wada, Hailong Liu:
Generating Visual Information for Motion Sickness Reduction Using a Computational Model Based on SVC Theory. ITSC 2023: 5066-5071 - [i9]Hailong Liu, Shota Inoue, Takahiro Wada:
Subjective Vertical Conflict Model with Visual Vertical: Predicting Motion Sickness on Autonomous Personal Mobility Vehicles. CoRR abs/2302.08642 (2023) - [i8]Hailong Liu, Takatsugu Hirayama:
Pre-instruction for Pedestrians Interacting Autonomous Vehicles with an eHMI: Effects on Their Psychology and Walking Behavior. CoRR abs/2303.08380 (2023) - [i7]Hailong Liu, Yang Li, Zhe Zeng, Hao Cheng, Chen Peng, Takahiro Wada:
Is Silent eHMI Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field. CoRR abs/2305.17862 (2023) - [i6]Ryuji Matsuo, Hailong Liu, Toshihiro Hiraoka, Takahiro Wada:
Enhancing the Driver's Comprehension of ADS's System Limitations: An HMI for Providing Request-to-Intervene Trigger Information. CoRR abs/2306.01328 (2023) - [i5]Zhe Zeng, Xiao Wang, Felix Wilhelm Siebert, Hailong Liu:
Enhancing Hybrid Eye Typing Interfaces with Word and Letter Prediction: A Comprehensive Evaluation. CoRR abs/2312.08731 (2023) - 2022
- [c15]Hailong Liu, Shota Inoue, Takahiro Wada:
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles. IV 2022: 1415-1422 - [c14]Yang Li, Hailong Liu, Barbara Deml:
HMI-based Communication Methods for Negotiation between a Manually Driven Vehicle Driver and an Autonomous Vehicle in an Ambiguous Traffic Scenario. SII 2022: 244-249 - [i4]Eito Sato, Hailong Liu, Norimitsu Sakagami, Takahiro Wada:
Cooperative Path-following Control of Remotely Operated Underwater Robots for Human Visual Inspection Task. CoRR abs/2203.13501 (2022) - 2021
- [c13]Yang Li, Hailong Liu, Barbara Deml:
Manually Driven Vehicle Encounters with Autonomous Vehicle in Bottleneck Roads: HMI Design for Communication Issues. HAI 2021: 382-385 - [c12]Yang Li, Hao Cheng, Zhe Zeng, Hailong Liu, Monika Sester:
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users. ITSC 2021: 1729-1736 - [c11]Hailong Liu, Takatsugu Hirayama, Masaya Watanabe:
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 2021: 748-754 - 2020
- [j5]Kyle Sama, Yoichi Morales, Hailong Liu, Naoki Akai, Alexander Carballo, Eijiro Takeuchi, Kazuya Takeda:
Extracting Human-Like Driving Behaviors From Expert Driver Data Using Deep Learning. IEEE Trans. Veh. Technol. 69(9): 9315-9329 (2020) - [c10]Hailong Liu, Takatsugu Hirayama, Luis Yoichi Morales Saiki, Hiroshi Murase:
What Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety? ITSC 2020: 1-6 - [c9]Hao Cheng, Hailong Liu, Fumito Shinmura, Naoki Akai, Hiroshi Murase, Takatsugu Hirayama:
Automatic Interaction Detection Between Vehicles and Vulnerable Road Users During Turning at an Intersection. IV 2020: 912-918
2010 – 2019
- 2019
- [c8]Hailong Liu, Toshihiro Hiraoka:
Driving behavior model considering driver's over-trust in driving automation system. AutomotiveUI (adjunct) 2019: 115-119 - [c7]Naoki Akai, Takatsugu Hirayama, Luis Yoichi Morales, Yasuhiro Akagi, Hailong Liu, Hiroshi Murase:
Driving Behavior Modeling Based on Hidden Markov Models with Driver's Eye-Gaze Measurement and Ego-Vehicle Localization. IV 2019: 949-956 - [i3]Hailong Liu, Toshihiro Hiraoka, Takatsugu Hirayama, Dongmin Kim:
Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background. CoRR abs/1905.05601 (2019) - [i2]Hailong Liu, Toshihiro Hiraoka, Seiya Tanaka:
Explicit behaviors affected by driver's trust in a driving automation system. CoRR abs/1906.03831 (2019) - 2018
- [j4]Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Takashi Bando:
Defect-Repairable Latent Feature Extraction of Driving Behavior via a Deep Sparse Autoencoder. Sensors 18(2): 608 (2018) - [c6]Kyle Sama, Yoichi Morales, Naoki Akai, Hailong Liu, Eijiro Takeuchi, Kazuya Takeda:
Driving Feature Extraction and Behavior Classification Using an Autoencoder to Reproduce the Velocity Styles of Experts. ITSC 2018: 1337-1343 - [i1]Hailong Liu, Toshihiro Hiraoka:
Driving behavior model considering driver's over-trust in driving automation system. CoRR abs/1812.08996 (2018) - 2017
- [j3]Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Visualization of Driving Behavior Based on Hidden Feature Extraction by Using Deep Learning. IEEE Trans. Intell. Transp. Syst. 18(9): 2477-2489 (2017) - [c5]Hideaki Misawa, Kazuhito Takenaka, Tomoya Sugihara, Hailong Liu, Tadahiro Taniguchi, Takashi Bando:
Prediction of driving behavior based on sequence to sequence model with parametric bias. ITSC 2017: 1-6 - 2016
- [j2]Tadahiro Taniguchi, Ryo Nakashima, Hailong Liu, Shogo Nagasaka:
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals. Adv. Robotics 30(11-12): 770-783 (2016) - [j1]Tadahiro Taniguchi, Kai Furusawa, Hailong Liu, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Determining Utterance Timing of a Driving Agent With Double Articulation Analyzer. IEEE Trans. Intell. Transp. Syst. 17(3): 810-821 (2016) - [c4]Hailong Liu, Tadahiro Taniguchi, Kazuhito Takenaka, Yusuke Tanaka, Takashi Bando:
Reducing the negative effect of defective data on driving behavior segmentation via a deep sparse autoencoder. GCCE 2016: 1-5 - 2015
- [c3]Hailong Liu, Tadahiro Taniguchi, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Essential feature extraction of driving behavior using a deep learning method. Intelligent Vehicles Symposium 2015: 1054-1060 - 2014
- [c2]Hailong Liu, Tadahiro Taniguchi:
Feature Extraction and Pattern Recognition for Human Motion by a Deep Sparse Autoencoder. CIT 2014: 173-181 - [c1]Hailong Liu, Tadahiro Taniguchi, Toshiaki Takano, Yusuke Tanaka, Kazuhito Takenaka, Takashi Bando:
Visualization of driving behavior using deep sparse autoencoder. Intelligent Vehicles Symposium 2014: 1427-1434
Coauthor Index
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