如何让感知结果不仅“看起来正确”，还能够稳定地被后续规划与机器人执行使用？
How can perception results be not only visually plausible, but stable enough for planning and robot execution?
SYSTEM DOSSIER · 03 / CONNECTING
三维感知3D Perception
系统集成& Integration从数据处理，到实体系统闭环From data processing to a physical system loop
算法只有进入真实设备、真实坐标系和真实时序，才会暴露完整问题。我关注点云、机器视觉、仿真与机器人系统如何可靠连接。
Algorithms reveal their full problems only when they enter real hardware, coordinate frames, and timing. I focus on reliable connections between point clouds, vision, simulation, and robotics.
状态 · 系统路线整理中STATUS · SYSTEM ROUTE IN PROGRESS
01 / OVERVIEW
SYSTEM INTENT
把坐标系、数据和动作接起来。Connect frames, data, and action.
当前关注三维点云处理、机器视觉、机器人仿真和系统集成的连接处，优先记录接口与验证方法。
The focus is where point-cloud processing, vision, simulation, and integration meet—especially interfaces and validation methods.
02 / ROUTE
WORKING PIPELINE
系统性地缩小误差。Reduce error systematically.
- 01采集与标定Capture & Calibrate
先保证传感器、坐标系与数据质量可解释。Make sensor state, coordinate frames, and data quality explainable first.
- 02处理与验证Process & Verify
用可视化、对照实验和边界情况检查处理结果。Check results through visualization, comparisons, and edge cases.
- 03仿真与集成Simulate & Integrate
把结果交给规划与执行模块，观察系统级延迟、误差和失败模式。Hand results to planning and execution, then observe system-level latency, error, and failure modes.
03 / EVIDENCE
TO BE CONNECTED
让链路中的每一步都能被检查。Make every link inspectable.
输入数据Input data
点云、图像、标定与坐标定义。Point clouds, images, calibration, and frames.
处理过程Processing
方法、可视化与边界情况。Methods, visualization, and edge cases.
系统结果System outcome
延迟、误差、稳定性与失败记录。Latency, error, stability, and failures.
04 / NEXT
OPEN LOG
下一步是用实验替代占位。Next: replace slots with experiments.
后续会补充具体数据链路、工具栈、我的职责与验证结果。独立详情页允许这些内容继续增长，而不让主页变成冗长报告。
Concrete pipelines, tools, responsibilities, and validation results will follow. A dedicated route lets the story grow without turning the homepage into a long report.
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