A review of HMM-based approaches of driving behaviors recognition and prediction Q Deng, D Söffker IEEE Transactions on Intelligent Vehicles 7 (1), 21-31, 2021 | 55 | 2021 |
Prediction performance of lane changing behaviors: a study of combining environmental and eye-tracking data in a driving simulator Q Deng, J Wang, K Hillebrand, CR Benjamin, D Söffker IEEE Transactions on Intelligent Transportation Systems 21 (8), 3561-3570, 2019 | 53 | 2019 |
Improved driving behaviors prediction based on fuzzy logic-hidden markov model (fl-hmm) Q Deng, D Söffker 2018 IEEE Intelligent Vehicles Symposium (IV), 2003-2008, 2018 | 42 | 2018 |
Prediction of human driver behaviors based on an improved HMM approach Q Deng, J Wang, D Soffker 2018 IEEE Intelligent Vehicles Symposium (IV), 2066-2071, 2018 | 30 | 2018 |
Classifying human behaviors: Improving training of conventional algorithms Q Deng, D Söffker 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 1060-1065, 2019 | 12 | 2019 |
Online intention recognition applied to real simulated driving maneuvers Q Deng, M Saleh, F Tanshi, D Söffker 2020 IEEE Conference on Cognitive and Computational Aspects of Situation …, 2020 | 8 | 2020 |
Probability of detection (pod)-based metric for evaluation of classifiers used in driving behavior prediction DA Ameyaw, Q Deng, D Söffker Proceedings of the Annual Conference of the PHM Society, Scottsdale, AZ, USA …, 2019 | 8 | 2019 |
Modeling and prediction of human behaviors based on driving data using multi-layer HMMs Q Deng, D Söffker 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2014-2019, 2019 | 6 | 2019 |
How to evaluate classifier performance in the presence of additional effects: A new POD-based approach allowing certification of machine learning approaches DA Ameyaw, Q Deng, D Söffker Machine Learning with Applications 7, 100220, 2022 | 4 | 2022 |
Evaluating machine learning-based classification approaches: a new method for comparing classifiers applied to human driver prediction intentions DA Ameyaw, Q Deng, D Söffker IEEE Access 10, 62429-62439, 2022 | 2 | 2022 |
Integrating situated human interaction modeling and stochastic state automata for improved technical situation awareness O Muthig, J Wang, Q Deng, D Söffker IFAC-PapersOnLine 48 (1), 87-92, 2015 | 2 | 2015 |
Improved human driving behaviors prediction based on Fuzzy Logic-Hidden Markov Model. Q Deng, D Söffker | | 2018 |
Defining Feature Properties for Optimal HMM-based Situation Recognition for Human Drivers. Q Deng, D Söffker | | 2017 |