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Hailong LIU
Hailong LIU
Graduate School of Science and Technology, Nara Institute of Science and Technology
Verified email at is.naist.jp - Homepage
Title
Cited by
Cited by
Year
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
1602017
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
522020
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
452014
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
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
342021
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
312016
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
302021
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
302015
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
262019
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
20*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
182018
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
162019
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
152015
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
142020
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
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
92017
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
82022
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
82018
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
62022
Revisiting motion sickness models based on SVC theory considering motion perception
S Inoue, H Liu, T Wada
SAE Technical Paper, 2023
42023
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