| Driving anomaly detection with conditional generative adversarial network using physiological and can-bus data Y Qiu, T Misu, C Busso 2019 International Conference on Multimodal Interaction, 164-173, 2019 | 30 | 2019 |
| Unsupervised scalable multimodal driving anomaly detection Y Qiu, T Misu, C Busso IEEE Transactions on Intelligent Vehicles, 2022 | 14 | 2022 |
| Analysis of the relationship between physiological signals and vehicle maneuvers during a naturalistic driving study Y Qiu, T Misu, C Busso 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 3230-3235, 2019 | 11 | 2019 |
| Use of triplet-loss function to improve driving anomaly detection using conditional generative adversarial network Y Qiu, T Misu, C Busso 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 9 | 2020 |
| INCORPORATING GAZE BEHAVIOR USING JOINT EMBEDDING WITH SCENE CONTEXT FOR DRIVER TAKEOVER DETECTION Y Qiu, C Busso, T Misu, K Akash | 8* | |
| Driving anomaly detection using conditional generative adversarial network Y Qiu, T Misu, C Busso arXiv preprint arXiv:2203.08289, 2022 | 2 | 2022 |
| Example-Based Query To Identify Causes of Driving Anomaly with Few Labeled Samples Y Qiu, T Misu, C Busso 2023 IEEE Intelligent Vehicles Symposium (IV), 1-7, 2023 | | 2023 |
| Operator take-over prediction QIU Yuning, T Misu, K Akash US Patent App. 17/570,573, 2023 | | 2023 |
| Driving Anomaly Detection Using Contrastive Multiview Coding to Interpret Cause of Anomaly Y Qiu, T Misu, C Busso 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | | 2022 |
Teruhisa MisuChief Scientist, Honda Research Institute USA, Inc. (HRI-US)Verified email at honda-ri.com
