Computational Methods for Autonomous Vehicle Navigation
Keywords:
Autonomous Vehicles, Navigation Systems, Sensor Data Processing, Decision-Making, Driving TechnologyAbstract
This article presents new computational methods designed to enhance the navigation systems of autonomous vehicles. By integrating advanced sensor data processing algorithms, these methods improve vehicle decision-making capabilities and overall navigation accuracy. The research demonstrates the potential of these methods to advance the field of autonomous driving technology.
References
Kumar, N., & Kataria, V. Enhanced Sentiment Classification using a Multi-layered Stacked Ensemble Architecture.
Рагимов, Э. Р. (2006). Об одном подходе оценки риска при проектировании защищенных корпоративных сетей. Информационные технологии моделирования и управления, (1), 94-98.
Published
2024-12-26
Issue
Section
Articles
