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An Integrated Approach to Real-Time Edge Computing and Data Compression Algorithms for Full Autonomous Driving

  • Journal of Internet of Things and Convergence
  • Abbr : JKIOTS
  • 2025, 11(2), pp.89~94
  • Publisher : The Korea Internet of Things Society
  • Research Area : Engineering > Computer Science > Internet Information Processing
  • Received : March 1, 2025
  • Accepted : April 10, 2025
  • Published : April 30, 2025

Jung Soo Han 1

1백석대학교

Accredited

ABSTRACT

Fully autonomous driving refers to the technology that enables a vehicle to perceive its surroundings, make decisions, and drive without any human intervention. To achieve this, the vehicle must process vast amounts of data in real time and make optimal driving decisions. However, traditional cloud-based approaches face limitations due to network latency and bandwidth constraints. To overcome these challenges, edge computing and data compression algorithms are essential. This study discusses the role of edge computing and data compression algorithms in enabling fully autonomous driving and explores methods for building efficient autonomous driving systems.

Citation status

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