automotive-china-parking-compliance
Automotive China Parking Compliance expertise.
Skill by pangzhenying2025
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: security
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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~/.claude/skills/automotive-china-parking-compliance
What's inside
- Skill name
automotive-china-parking-compliance- Description
- Automotive China Parking Compliance expertise. Covers 1 topics: China Parking Compliance.
- License
- MIT
- Instructions
- 268 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Automotive China Parking Compliance
## China Parking Compliance
# China Parking System Compliance — Parking Assistance & Automated Parking Standards
## Overview
Expert guidance for compliance with China's standards for parking assistance and automated parking systems, including APA (Automatic Parking Assist), RPA (Remote Parking Assist), AVP (Automated Valet Parking), and HPA (Home-zone Parking Assist). Covers both mandatory and recommended national standards.
## Standard Hierarchy
```
中国泊车标准体系
├── 强制性国标
│ ├── GB — 泊车辅助系统性能要求与试验方法
│ └── GB — 遥控泊车辅助系统技术要求
├── 推荐性国标
│ ├── GB/T — 自动泊车系统性能要求与试验方法
│ ├── GB/T — 自动代客泊车系统技术要求
│ ├── GB/T — 泊车功能安全要求
│ └── GB/T — 泊车预期功能安全要求
├── 行业标准
│ ├── QC/T — 泊车辅助超声波传感器技术要求
│ └── QC/T — 全景影像系统技术要求
└── 团体标准
├── T/CSAE — 智能泊车系统分级
└── T/CSAE — 记忆泊车系统技术要求
```
## Parking Function Classification
### Function Levels
```
泊车功能分级(参考T/CSAE标准)
─────────────────────────────────────────────────────
Level 0: 泊车预警
└── 超声波/摄像头障碍物提醒(无自动控制)
Level 1: 半自动泊车辅助(APA-S)
└── 系统控制转向,驾驶员控制油门/制动/换挡
Level 2: 自动泊车辅助(APA)
└── 系统控制转向+制动+油门,驾驶员监控
└── 驾驶员在车内,脚在制动踏板附近
Level 3: 遥控泊车辅助(RPA)
└── 驾驶员在车外,通过手机/钥匙遥控
└── 低速(<5km/h),短距离(<6m通常)
Level 4: 记忆泊车(HPA)
└── 学习固定路线,自动泊入/泊出
└── 驾驶员可在车外,通过App监控
Level 5: 自动代客泊车(AVP)
└── 车辆自主寻找车位并泊车
└── 需要场端基础设施配合(L4级别)
─────────────────────────────────────────────────────
```
### Parking Scenario Types
```python
parking_scenarios = {
"平行泊车(侧方位)": {
"车位尺寸": "车长+1.2m × 车宽+0.8m (最小)",
"速度限制": "<10 km/h",
"检测距离": ">15m前方探测",
},
"垂直泊车": {
"车位尺寸": "车宽+0.8m × 5.0m (最小)",
"速度限制": "<5 km/h",
"接近角度": "90° ± 15°",
},
"斜向泊车": {
"车位尺寸": "按角度计算",
"角度": "30°/45°/60°",
"速度限制": "<5 km/h",
},
"遥控泊车": {
"遥控距离": "<6m",
"速度限制": "<5 km/h (前进), <3 km/h (倒车)",
"紧急制动": "松开遥控按键即停",
},
"记忆泊车(HPA)": {
"学习路径长度": "<500m",
"速度限制": "<15 km/h",
"路径偏差容忍": "<0.3m",
},
"代客泊车(AVP)": {
"运行范围": "指定停车场/区域",
"速度限制": "<20 km/h",
"场端配合": "需要V2X/高精地图",
},
}
```
## Core Compliance Requirements
### 1. Sensor & Perception Requirements
```
泊车感知系统要求
├── 超声波传感器(USS)
│ ├── 数量:>=12个(推荐16个)
│ ├── 检测范围:0.15m - 5.0m
│ ├── 精度:±2cm
│ ├── 角度覆盖:360°环绕
│ └── 响应时间:<100ms
├── 环视摄像头(AVM)
│ ├── 数量:4个(前/后/左/右)
│ ├── FOV:>=190°(鱼眼)
│ ├── 分辨率:>=1280×960
│ ├── 帧率:>=25fps
│ └── 拼接精度:<5cm
├── 补充传感器(高级功能)
│ ├── 角雷达:用于动态障碍物检测
│ ├── 激光雷达:用于AVP精确建图From pangzhenying2025/hermes-automotive-skills, MIT.
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Signals
- Stars
- 10
- Forks
- 2
- Open issues
- 0
- Last commit (this folder)
- May 19, 2026 (5 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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automotive-china-parking-compliance skill. Agent Mart. https://agentmart.dev/skills/pangzhenying2025-automotive-china-parking-compliance (last updated 2026-10-24)