Personal Kakao Mobility

구조

• Led a project developing of a web application project to draw 3D vector map for Autonomous driving.

• Improved vector drawing speed to extract normal vectors of a surface using 3D point cloud data from LiDAR.

• Integrated development experience of Mac, Windows, and GKE using Kubernetes on Rancher Desktop with a localized production stack (Redis, Node.js, InfluxDB, and Grafana).

• Reduced build time by 70%, simplified dependency management, and merged Node.js-based repositories into a mono-repo.

• Enhanced maintainability with unit test (Vitest) and code coverage including frontend source code by mockup browser rendering.

• Migrated Docker based application to GKE with a Google Cloud DevOps Award winning team.

• Achieved real-time error notification (Slack) and task monitoring (Grafana Map dashboard) via logs in InfluxDB.

• Refactored C++ camera projection library to Rust which convert 3d point to a 2d point using lens information.

• node addon cpp 로 c lib file 로 연결된 센서 컨트롤

• socket io 실시간 다중 서버 클라이언트 구조

• Node js Worker Thread 로 sensor data input write 해가며

강의

NEXT MOBILITY: NEMO 2022

카카오모빌리티 테크 컨퍼런스

https://nemo.kakaomobility.com/kr/main/main.php