[HTML][HTML] Bio-inspired optimization-based path planning algorithms in unmanned aerial vehicles: A survey

S Poudel, MY Arafat, S Moh - Sensors, 2023 - mdpi.com
Advancements in electronics and software have enabled the rapid development of
unmanned aerial vehicles (UAVs) and UAV-assisted applications. Although the mobility of …

Review of integrated chassis control techniques for automated ground vehicles

V Skrickij, P Kojis, E Šabanovič, B Shyrokau, V Ivanov - Sensors, 2024 - mdpi.com
Integrated chassis control systems represent a significant advancement in the dynamics of
ground vehicles, aimed at enhancing overall performance, comfort, handling, and stability …

[HTML][HTML] A Synthesis of Algorithms Determining a Safe Trajectory in a Group of Autonomous Vehicles Using a Sequential Game and Neural Network

J Lisowski - Electronics, 2023 - mdpi.com
This paper presents a solution to the problem of providing an autonomous vehicle with a
safe control task when moving around many other autonomous vehicles. This is achieved by …

[HTML][HTML] Improved technique for autonomous vehicle motion planning based on integral constraints and sequential optimization

M Diachuk, SM Easa - Vehicles, 2022 - mdpi.com
The study is dedicated to elaborating and analyzing a technique for autonomous vehicle
(AV) motion planning based on sequential trajectory and kinematics optimization. The …

[HTML][HTML] A Cooperative Control Algorithm for Line and Predecessor Following Platoons Subject to Unreliable Distance Measurements

C Escobar, FJ Vargas, AA Peters, G Carvajal - Mathematics, 2023 - mdpi.com
This paper uses a line-following approach to study the longitudinal and lateral problems in
vehicle platooning. Under this setup, we assume that inter-vehicle distance sensing is …

[HTML][HTML] Obstacle encounter probability dependent local path planner for UAV operation in urban environments

A Thoma, A Gardi, A Fisher, C Braun - CEAS Aeronautical Journal, 2024 - Springer
Unmanned aerial vehicles (UAVs) are well-suited for various short-distance missions in
urban environments. However, the path planner of such UAV is constantly challenged with …

Dynamic Path Planning of Vehicles Based on the Adaptive Potential Field and Hierarchical Replacement Immune Algorithm

Y Pan, Y Tao, W Lu, G Li, J Cong - Arabian Journal for Science and …, 2024 - Springer
A dynamic path planning method combining the adaptive potential field with the hierarchical
replacement immune algorithm is proposed to realize the optimal navigation path and real …

[HTML][HTML] Evaluación de Estrategias Metaheurísticas en la Planificación de Rutas para Robots

D Sehuveret Hernández, JA García Muñoz… - Ingeniería Electrónica …, 2024 - scielo.sld.cu
RESUMEN Los Vehículos Autónomos Terrestres son fundamentales para diversas
industrias, requiriendo una planificación de rutas eficiente para el éxito de la misión sin …

Towards Predicting Traffic Shockwave Formation and Propagation: A Convolutional Encoder–Decoder Network

M Khajeh Hosseini, A Talebpour - Journal of transportation …, 2023 - ascelibrary.org
Traffic management strategies have been relying on various congestion prediction
methodologies. The prediction accuracy of these methodologies has improved over the …

[PDF][PDF] A Synthesis of Algorithms Determining a Safe Trajectory in a Group of Autonomous Vehicles Using a Sequential Game and Neural Network. Electronics 2023 …

J Lisowski - 2023 - academia.edu
This paper presents a solution to the problem of providing an autonomous vehicle with a
safe control task when moving around many other autonomous vehicles. This is achieved by …