| 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 | 173 | 2017 |
| 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 | 72 | 2020 |
| 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 | 50 | 2014 |
| 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 | 49* | 2021 |
| 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 | 42 | 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 | 41 | 2014 |
| 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 | 33 | 2019 |
| 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 | 32 | 2016 |
| 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 | 32 | 2015 |
| 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 | 28* | 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 | 21 | 2018 |
| 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 | 18 | 2019 |
| 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 | 16 | 2020 |
| 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 | 14 | 2015 |
| 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 | 13 | 2022 |
| 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 | 10 | 2022 |
| 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 | 10 | 2019 |
| 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 | 10 | 2018 |
| 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 | 10 | 2017 |
| Is Silent External Human–Machine Interface (eHMI) Enough? A Passenger-Centric Study on Effective eHMI for Autonomous Personal Mobility Vehicles in the Field H Liu, Y Li, Z Zeng, H Cheng, C Peng, T Wada International Journal of Human–Computer Interaction, 1-15, 2024 | 7* | 2024 |
Tadahiro TaniguchiKyoto UniversityZweryfikowany adres z i.kyoto-u.ac.jp
