[HTML][HTML] Approximate Gaussian conjugacy: parametric recursive filtering under nonlinearity, multimodality, uncertainty, and constraint, and beyond

T Li, J Su, W Liu, JM Corchado - Frontiers of Information Technology & …, 2017 - Springer
Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …

Implicit personalization in driving assistance: State-of-the-art and open issues

D Yi, J Su, L Hu, C Liu, M Quddus… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In recent decades, driving assistance systems have been evolving towards personalization
for adapting to different drivers. With the consideration of driving preferences and driver …

Dynamic clustering analysis for driving styles identification

MVN de Zepeda, F Meng, J Su, XJ Zeng… - … applications of artificial …, 2021 - Elsevier
For intelligent driving systems, the ability to recognize different driving styles of surrounding
vehicles is crucial in determining the safest, yet more efficient driving decisions especially in …

Trajectory clustering aided personalized driver intention prediction for intelligent vehicles

D Yi, J Su, C Liu, WH Chen - IEEE Transactions on Industrial …, 2018 - ieeexplore.ieee.org
Early driver intention prediction plays a significant role in intelligent vehicles. Drivers exhibit
various driving characteristics impairing the performance of conventional algorithms using …

[HTML][HTML] Fuzzy logic for situation awareness: a systematic review

G D'Aniello - Journal of Ambient Intelligence and Humanized …, 2023 - Springer
Situation awareness is the cognitive capability of human and artificial agents to perceive,
understand and predict the status of the situation in an environment. Situation awareness …

Personalized driver workload inference by learning from vehicle related measurements

D Yi, J Su, C Liu, WH Chen - IEEE Transactions on Systems …, 2017 - ieeexplore.ieee.org
Adapting in-vehicle systems (eg, advanced driver assistance systems and in-vehicle
information systems) to individual drivers' workload can enhance both safety and …

New driver workload prediction using clustering-aided approaches

D Yi, J Su, C Liu, WH Chen - IEEE Transactions on Systems …, 2018 - ieeexplore.ieee.org
Awareness of driver workload (DW) plays a paramount role in enhancing driving safety and
convenience for intelligent vehicles. The DW prediction systems proposed so far learn either …

An interaction-aware approach for online cut-in behavior prediction and risk assessment for autonomous driving

J Zhang - 2021 - uwspace.uwaterloo.ca
The development of autonomous driving has become one of the biggest trends of the 21st
century's technology. However, the promotion and the mass production of autonomous …

Enhanced Affinity Propagation Clustering on Heterogeneous Information Network

D Rajan, S Jiang, D Yi, W Pang, GM Coghill - UK Workshop on …, 2022 - Springer
The real world data sets with multi-typed objects and multi-typed relations can be structured
as heterogeneous information networks (HIN). Clustering is one of the most significant …

The Role That Connected and Automated Vehicles Can Play In Re-Organizing Traffic Flow: Work Zones and Emergency Services

Y Zou - 2020 - search.proquest.com
The extensive progresses in computer science and communication technology in recent
decades facilitate the development of the connected and automated vehicles (CAV). Since …