Research scenarios of autonomous vehicles, the sensors and measurement systems used in experiments

L Prochowski, P Szwajkowski, M Ziubiński - Sensors, 2022 - mdpi.com
Automated and autonomous vehicles are in an intensive development phase. It is a phase
that requires a lot of modelling and experimental research. Experimental research into these …

A survey on path planning for autonomous ground vehicles in unstructured environments

N Wang, X Li, K Zhang, J Wang, D Xie - Machines, 2024 - mdpi.com
Autonomous driving in unstructured environments is crucial for various applications,
including agriculture, military, and mining. However, research in unstructured environments …

Forgery Cyber-Attack Supported by LSTM Neural Network: An Experimental Case Study

K Zarzycki, P Chaber, K Cabaj, M Ławryńczuk… - Sensors, 2023 - mdpi.com
This work is concerned with the vulnerability of a network industrial control system to cyber-
attacks, which is a critical issue nowadays. This is because an attack on a controlled process …

An optimization-based motion planner for car-like logistics robots on narrow roads

L Yu, H Wu, C Liu, H Jiao - Sensors, 2022 - mdpi.com
Thanks to their strong maneuverability and high load capacity, car-like robots with non-
holonomic constraints are often used in logistics to improve efficiency. However, it is difficult …

Computationally Efficient Nonlinear Model Predictive Control Using the L1 Cost-Function

M Ławryńczuk, R Nebeluk - Sensors, 2021 - mdpi.com
Model Predictive Control (MPC) algorithms typically use the classical L 2 cost function,
which minimises squared differences of predicted control errors. Such an approach has …

Long Short-Term Memory Neural Networks for Modeling Dynamical Processes and Predictive Control: A Hybrid Physics-Informed Approach

K Zarzycki, M Ławryńczuk - Sensors, 2023 - mdpi.com
This work has two objectives. Firstly, it describes a novel physics-informed hybrid neural
network (PIHNN) model based on the long short-term memory (LSTM) neural network. The …

An efficient LiDAR point cloud map coding scheme based on segmentation and frame-inserting network

Q Wang, L Jiang, X Sun, J Zhao, Z Deng, S Yang - Sensors, 2022 - mdpi.com
In this article, we present an efficient coding scheme for LiDAR point cloud maps. As a point
cloud map consists of numerous single scans spliced together, by recording the time stamp …

Real-time motion planning for an autonomous mobile robot with wheel-ground adhesion constraint

J Gao, F Claveau, A Pashkevich, P Chevrel - Advanced Robotics, 2023 - Taylor & Francis
The paper proposes a new real-time motion planning technique for an autonomous mobile
robot that is able to find a collision-free path and a corresponding time-optimal trajectory …

Motion planning for autonomous vehicles based on sequential optimization

M Diachuk, SM Easa - Vehicles, 2022 - mdpi.com
This study presents the development and analysis of a technique for planning the
autonomous vehicle (AV) motion references using sequential optimization. The method …

[HTML][HTML] Towards an integrated swarm intelligence framework for urban mobility: A systematic review and proposed theoretical model

DER de Gauna, LE Sánchez, A Ruiz-Iniesta… - Journal of King Saud …, 2023 - Elsevier
In recent years, autonomous electric vehicles (A-EVs) have attracted the attention of
academia and industry. In urban mobility, this topology requires consensus to control …