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Yongkang Liu
Yongkang Liu
Toyota Motor North America
Verified email at toyota.com
Title
Cited by
Cited by
Year
Vision-cloud data fusion for ADAS: A lane change prediction case study
Y Liu, Z Wang, K Han, Z Shou, P Tiwari, JHL Hansen
IEEE Transactions on Intelligent Vehicles 7 (2), 210-220, 2021
452021
Sensor fusion of camera and cloud digital twin information for intelligent vehicles
Y Liu, Z Wang, K Han, Z Shou, P Tiwari, JHL Hansen
2020 IEEE Intelligent Vehicles Symposium (IV), 182-187, 2020
432020
Infrastructure-based object detection and tracking for cooperative driving automation: A survey
Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJ Barth
2022 IEEE Intelligent Vehicles Symposium (IV), 1366-1373, 2022
412022
Risky action recognition in lane change video clips using deep spatiotemporal networks with segmentation mask transfer
E Yurtsever, Y Liu, J Lambert, C Miyajima, E Takeuchi, K Takeda, ...
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3100-3107, 2019
392019
Pillargrid: Deep learning-based cooperative perception for 3d object detection from onboard-roadside lidar
Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
362022
Long-term prediction of lane change maneuver through a multilayer perceptron
Z Shou, Z Wang, K Han, Y Liu, P Tiwari, X Di
2020 IEEE Intelligent Vehicles Symposium (IV), 246-252, 2020
342020
Navigation-orientated natural spoken language understanding for intelligent vehicle dialogue
Y Zheng, Y Liu, JHL Hansen
2017 IEEE Intelligent Vehicles Symposium (IV), 559-564, 2017
302017
Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR
Z Bai, SP Nayak, X Zhao, G Wu, MJ Barth, X Qi, Y Liu, EA Sisbot, ...
IEEE Transactions on Intelligent Transportation Systems, 2023
21*2023
Distracted driving detection based on the fusion of deep learning and causal reasoning
P Ping, C Huang, W Ding, Y Liu, M Chiyomi, T Kazuya
Information Fusion 89, 121-142, 2023
192023
Intent detection and semantic parsing for navigation dialogue language processing
Y Zheng, Y Liu, JHL Hansen
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
142017
A Survey and Framework of Cooperative Perception: From Heterogeneous Singleton to Hierarchical Cooperation
Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi, Z Huang
arXiv preprint arXiv:2208.10590, 2022
112022
Vinet: Lightweight, scalable, and heterogeneous cooperative perception for 3d object detection
Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi
Mechanical Systems and Signal Processing 204, 110723, 2023
102023
Multi-Agent Trajectory Prediction with Graph Attention Isomorphism Neural Network
Y Liu, X Qi, EA Sisbot, K Oguchi
2022 IEEE Intelligent Vehicles Symposium (IV), 273-279, 2022
92022
A review of UTDrive studies: Learning driver behavior from naturalistic driving data
Y Liu, JHL Hansen
IEEE Open Journal of Intelligent Transportation Systems 2, 338-346, 2021
92021
Towards Complexity Level Classification of Driving Scenarios Using Environmental Information
Y Liu, JHL Hansen
2019 IEEE Intelligent Transportation Systems Conference (ITSC), 810-815, 2019
82019
Cyber mobility mirror for enabling cooperative driving automation in mixed traffic: A co-simulation platform
Z Bai, G Wu, X Qi, Y Liu, K Oguchi, MJ Barth
IEEE Intelligent Transportation Systems Magazine 15 (2), 251-265, 2022
72022
Analysis of Driving Performance Based on Driver Experience and Vehicle Familiarity: A UTDrive/Mobile-UTDrive App Study
Y Liu, J Hansen
SAE International Journal of Transportation Safety 7 (2), 175-190, 2019
62019
1 MobileUTDrive: A portable device platform for in-vehicle driving data collection
Y Liu, Y Zheng, JH Hansen
Vehicles, Drivers, and Safety, 3-24, 2020
52020
Driving Performance Analysis of Driver Experience and Vehicle Familiarity Using Vehicle Dynamic Data
Y Liu, Y Zheng, J Hansen
SAE Technical Paper, 2018
42018
Cooperverse: A Mobile-Edge-Cloud Framework for Universal Cooperative Perception with Mixed Connectivity and Automation
Z Bai, G Wu, MJ Barth, Y Liu, EA Sisbot, K Oguchi
arXiv preprint arXiv:2302.03128, 2023
32023
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Articles 1–20