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Hailong LIU
Hailong LIU
Graduate School of Science and Technology, Nara Institute of Science and Technology
Bestätigte E-Mail-Adresse bei is.naist.jp - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Visualization of driving behavior based on hidden feature extraction by using deep learning
H Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 18 (9), 2477-2489, 2017
1702017
Extracting human-like driving behaviors from expert driver data using deep learning
K Sama, Y Morales, H Liu, N Akai, A Carballo, E Takeuchi, K Takeda
IEEE transactions on vehicular technology 69 (9), 9315-9329, 2020
672020
Visualization of driving behavior using deep sparse autoencoder
H Liu, T Taniguchi, T Takano, Y Tanaka, K Takenaka, T Bando
2014 IEEE Intelligent Vehicles Symposium Proceedings, 1427-1434, 2014
472014
Importance of Instruction for Pedestrian-Automated Driving Vehicle Interaction with an External Human Machine Interface: Effects on Pedestrians' Situation Awareness, Trust …
H Liu, T Hirayama, M Watanabe
The 32nd IEEE Intelligent Vehicles Symposium (IV2021), 748-754, 2021
46*2021
Feature extraction and pattern recognition for human motion by a deep sparse autoencoder
H Liu, T Taniguchi
2014 IEEE International Conference on Computer and Information Technology …, 2014
412014
Autonomous Vehicles Drive into Shared Spaces: eHMI Design Concept Focusing on Vulnerable Road Users
Y Li, H Cheng, Z Zeng, H Liu, M Sester
2021 IEEE Intelligent Transportation Systems Conference (ITSC), 1729-1736, 2021
392021
Driving behavior modeling based on hidden markov models with driver's eye-gaze measurement and ego-vehicle localization
N Akai, T Hirayama, LY Morales, Y Akagi, H Liu, H Murase
2019 IEEE Intelligent Vehicles Symposium (IV), 949-956, 2019
322019
Double articulation analyzer with deep sparse autoencoder for unsupervised word discovery from speech signals
T Taniguchi, R Nakashima, H Liu, S Nagasaka
Advanced Robotics 30 (11-12), 770-783, 2016
322016
Essential feature extraction of driving behavior using a deep learning method
HL Liu, T Taniguchi, Y Tanaka, K Takenaka, T Bando
2015 IEEE intelligent vehicles symposium (IV), 1054-1060, 2015
312015
Implicit Interaction with an Autonomous Personal Mobility Vehicle: Relations of Pedestrians’ Gaze Behavior with Situation Awareness and Perceived Risks
H Liu, T Hirayama, LY Morales Saiki, H Murase
International Journal of Human-Computer Interaction 39 (10), 2016–2032, 2023
25*2023
Driving feature extraction and behavior classification using an autoencoder to reproduce the velocity styles of experts
K Sama, Y Morales, N Akai, H Liu, E Takeuchi, K Takeda
2018 21st International Conference on Intelligent Transportation Systems …, 2018
202018
Driving behavior model considering driver's over-trust in driving automation system
H Liu, T Hiraoka
Proceedings of the 11th International Conference on Automotive User …, 2019
182019
What Timing for an Automated Vehicle to Make Pedestrians Understand Its Driving Intentions for Improving Their Perception of Safety?
H Liu, T Hirayama, LY Morales, H Murase
The 23rd IEEE International Conference on Intelligent Transportation Systems …, 2020
152020
Determining utterance timing of a driving agent with double articulation analyzer
T Taniguchi, K Furusawa, H Liu, Y Tanaka, K Takenaka, T Bando
IEEE Transactions on Intelligent Transportation Systems 17 (3), 810-821, 2015
142015
HMI-based Communication Methods for Negotiation between a Manually Driven Vehicle Driver and an Autonomous Vehicle in an Ambiguous Traffic Scenario
Y Li, H Liu, B Deml
2022 IEEE/SICE International Symposium on System Integration (SII), 224-249, 2022
122022
Motion Sickness Modeling with Visual Vertical Estimation and Its Application to Autonomous Personal Mobility Vehicles
H Liu, S Inoue, T Wada
2022 IEEE Intelligent Vehicles Symposium (IV), 1415-1422, 2022
102022
Defect-repairable latent feature extraction of driving behavior via a deep sparse autoencoder
H Liu, T Taniguchi, K Takenaka, T Bando
Sensors 18 (2), 608, 2018
102018
Prediction of driving behavior based on sequence to sequence model with parametric bias
H Misawa, K Takenaka, T Sugihara, H Liu, T Taniguchi, T Bando
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
102017
Saliency difference based objective evaluation method for a superimposed screen of the HUD with various background
H Liu, T Hiraoka, T Hirayama, D Kim
IFAC-PapersOnLine 52 (19), 323-328, 2019
92019
Revisiting motion sickness models based on SVC theory considering motion perception
S Inoue, H Liu, T Wada
SAE Technical Paper, 2023
62023
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