The Impact of Edge Computing on Autonomous Vehicle Technologies
Keywords:
edge computing, autonomous vehicles, v2x communication, latency, real-time processingAbstract
This paper explores the impact of edge computing on the development and performance of autonomous vehicle technologies. It examines how edge computing improves data processing speed and reduces latency, essential for real-time decision-making in self-driving cars. The study analyzes various applications of edge computing in vehicle-to-everything (V2X) communication, safety systems, and route optimization. Challenges such as infrastructure development and security concerns are also discussed. Through case studies and technological evaluations, the research highlights the transformative potential of edge computing in the automotive industry and its role in advancing autonomous vehicle capabilities.
References
STALL, K. (2025). MANAGING CIRCULAR ECONOMY IN SHEET-FED OFFSET PRINTING. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, (237).
Stall, K. (2025). Managing Productivity in Sheet-fed Offset Printing: An IIoT Comparative Study of a Retrofitted Heidelberg Legacy Printing Press Versus the Latest Model. Management and Production Engineering Review.
Stall, K. (2025). EMBRACING INDUSTRY 5.0: HUMAN-CENTRIC DESIGN OF IIoT ENABLED DIGITAL TWINS IN THE PRINTING INDUSTRY. Scientific Papers of Silesian University of Technology. Organization & Management/Zeszyty Naukowe Politechniki Slaskiej. Seria Organizacji i Zarzadzanie, (223).
Sanandaji, M. M., Mollick, R., Ratner, A., & Ding, H. (2025). Laser-enabled organic coating for sustainable PFAS-free metal surfaces. Manufacturing letters, 45, 8-12.