A comprehensive review on Advanced Process Control of cement kiln process with the focus on MPC tuning strategies

V Ramasamy, R Kannan, G Muralidharan… - Journal of Process …, 2023 - Elsevier
The cement kiln is one of the major energy-intense processes that need efficient controllers
to minimise fuel consumption, enhance clinker production, and improve cement quality. A …

Personalized car-following control based on a hybrid of reinforcement learning and supervised learning

D Song, B Zhu, J Zhao, J Han… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the development of intelligent vehicles, more research has focused on achieving
human-like driving. As an important component of intelligent vehicle control, car-following …

Interaction-aware trajectory prediction of surrounding vehicles based on hierarchical framework in highway scenarios

Y Na, J Lee, K Jo - 2022 IEEE Intelligent Vehicles Symposium …, 2022 - ieeexplore.ieee.org
This paper presents a hierarchical framework combining a machine learning (ML)-based
approach with a model-based approach to predict the behavior and trajectory of surrounding …

Multi-objective dynamic coordinated Adaptive Cruise Control for intelligent electric vehicle with sensors fusion

D Wu, B Qiao, C Du, Y Zhu, F Yan, C Liu, Y Li… - Mechanical Systems and …, 2024 - Elsevier
Abstract Adaptive Cruise Control (ACC) is a multi-objective control problem, where the
balance of the ride comfort and safety performance of vehicles is a challenge. This paper …

Collision Probability Field Based Interaction-Aware Longitudinal Motion Prediction

Y Na, M Lee, J Kang, M Sunwoo… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the realm of autonomous driving, motion planning for the ego vehicle necessitates the
prediction of surrounding vehicles' motions. This prediction traditionally relies on object …

Zone-of-Interaction Prioritization for Personalized Automated Driving by Considering Visual Attention Preferences

A Liu, J Zhang, D Li - IEEE Transactions on Intelligent Vehicles, 2024 - ieeexplore.ieee.org
The personalization or customization of automated driving algorithms has attracted great
attention because of its potential in enhancing trust and acceptance. This is true for both …

Non-Autoregressive Transformer based Ego-Motion Independent Pedestrian Trajectory Prediction on Egocentric View

Y Kim, E Seo, C Noh, K Yi - IEEE Access, 2023 - ieeexplore.ieee.org
Predicting the future trajectories of surrounding pedestrians is undoubtedly one of the most
essential but challenging tasks for safe urban autonomous driving. Despite this importance …

Efficient Perception, Planning, and Control Algorithms for Vision-Based Automated Vehicles

DH Lee - arXiv preprint arXiv:2209.07042, 2022 - arxiv.org
Autonomous vehicles have limited computational resources; hence, their control systems
must be efficient. The cost and size of sensors have limited the development of self-driving …

[PDF][PDF] Human-like car-following modeling based on online driving style recognition

L Ma, S Qu, L Song, J Zhang, J Ren - Electron. Res. Arch, 2023 - researchgate.net
Incorporating human driving style into car-following modeling is critical for achieving higher
levels of driving automation. By capturing the characteristics of human driving, it can lead to …