The Impact of Edge Computing on Autonomous Vehicle Technologies

Authors

  • Morgan Martinez
  • Dana Baker
  • Quinn Phillips

Keywords:

edge computing, autonomous vehicles, v2x communication, latency, real-time processing

Abstract

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.

Author Biographies

Morgan Martinez

PhD in Automotive Engineering
RWTH Aachen University
Templergraben 55, 52062 Aachen, Germany

Dana Baker

PhD in Computer Engineering
University of Illinois Urbana-Champaign
306 N Wright St, Urbana, IL 61801, USA

Quinn Phillips

PhD in Transport Technologies
National Aerospace University 'Kharkiv Aviation Institute'
Chkalova St, 17, Kharkiv, Ukraine, 61070

References

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Published

2025-11-10

Issue

Section

Articles