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Working from home
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Working from home
  • Korea, Republic of
  • 15:10 (UTC +09:00)

Organizations

@ace-knu @knupi-project @zzangdol-2023 @BITDOL-Drift
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Seunmul/README.md

Geonha Park (Seunmul).

Hits

Introduction

Interests

  • Linux (Especially ARM), Realtime OS, Embedded System.
  • Container-based virtualization(Docker, K8s, etc.)
  • Tiny ML, Edge AI
  • AI Model Compiler: Reducing Memory bandwidth cost and calculation overheads (with kernel-level ops, IR optimization, hardware-aware model design)
  • Automotive Platform SW (Especially, Autosar Classic and Adaptive platform)

Thank you for visiting my GitHub.

I'm currently a graduate student deepening my knowledge in Linux, particularly Embedded Linux for automotive platforms, and Edge AI.

In particular, I'm focusing on the challenges posed by the shift from distributed systems to centralized computing architectures in the automotive domains — especially SDVs.

Additionally, I'm exploring effective ways to integrate automotive systems with Tiny AI models — to ensure safety, power efficiency, and memory efficiency.

If these topics capture your interest, I would appreciate hearing about your experiences.

Thank you.
Geonha Park.

Contact

Pinned

  1. BITDOL-Drift/Drift-Line-Lane-Follower BITDOL-Drift/Drift-Line-Lane-Follower Public

    Core codes for driving the model autonomous car, developed by Team Drift, at the 2023 DIFA competition.

    Python

  2. zzangdol-2023/zzangdol_core_v1 zzangdol-2023/zzangdol_core_v1 Public

    Firmware code-v1 for zzangdol-ai-car, with Arduino Mega Platform.

    C++

  3. zzangdol-2023/zzangdol_navigation zzangdol-2023/zzangdol_navigation Public

    ROS Navigation Package for Zzangdol-ai-car. Required zzangdol-cartographer.

    Python