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| """
Aptiv 风格座舱合成数据生成框架
"""
import numpy as np
from dataclasses import dataclass
from typing import List, Optional
import json
@dataclass
class CabinOccupant:
"""乘员参数"""
age: int
height_cm: float
weight_kg: float
gender: str
seat_position: str
posture: str
clothing: str
belt_status: str
遮挡: str
@dataclass
class CabinEnvironment:
"""座舱环境参数"""
illumination_lux: float
ir_active: bool
time_of_day: str
temperature_c: float
humidity_pct: float
@dataclass
class SyntheticScenario:
"""合成场景定义"""
scenario_id: str
occupants: List[CabinOccupant]
environment: CabinEnvironment
camera_config: dict
expected_detection: dict
class SyntheticDataGenerator:
"""
座舱合成数据生成器
生成 Euro NCAP 虚拟评估所需的场景数据
"""
DSM_SCENARIOS = {
'D-01': '驾驶员视线直视前方',
'D-02': '驾驶员手持手机至耳边',
'D-03': '驾驶员低头看手机/打字',
'D-04': '驾驶员与乘客交谈（视线偏移）',
'D-05': '视线偏离道路 >3秒',
'F-01': 'PERCLOS >= 30% 持续5秒',
'F-02': '微睡眠（闭眼1.5秒）',
'F-03': '频繁打哈欠',
}
OMS_SCENARIOS = {
'O-01': '前排正常坐姿成人',
'O-02': '后排儿童座椅',
'O-03': '后排儿童（无座椅）',
'O-04': '空座',
'O-05': '安全带误用 - 腋下',
'O-06': '安全带误用 - 背后',
'CPD-01': '后座遗留婴儿（睡眠）',
'CPD-02': '毛毯覆盖儿童',
'CPD-03': '儿童座椅遮挡',
}
def __init__(self):
self.occupant_templates = self._init_occupant_templates()
self.environment_templates = self._init_environment_templates()
def _init_occupant_templates(self) -> List[CabinOccupant]:
"""初始化乘员模板"""
templates = []
templates.append(CabinOccupant(35, 175, 75, 'male', 'driver', 'upright', 'light', 'correct', 'none'))
templates.append(CabinOccupant(30, 162, 55, 'female', 'front_passenger', 'upright', 'dark', 'correct', 'none'))
templates.append(CabinOccupant(3, 95, 15, 'child', 'rear_left', 'upright', 'light', 'correct', 'child_seat'))
templates.append(CabinOccupant(0, 65, 7, 'child', 'rear_right', 'upright', 'light', 'correct', 'child_seat'))
templates.append(CabinOccupant(40, 180, 80, 'male', 'driver', 'leaning_forward', 'dark', 'correct', 'none'))
templates.append(CabinOccupant(25, 170, 65, 'female', 'driver', 'upright', 'light', 'under_arm', 'none'))
templates.append(CabinOccupant(2, 85, 12, 'child', 'rear_middle', 'upright', 'light', 'correct', 'blanket'))
templates.append(CabinOccupant(0, 0, 0, 'child', 'rear_middle', 'upright', 'light', 'unfastened', 'none'))
return templates
def _init_environment_templates(self) -> List[CabinEnvironment]:
"""初始化环境模板"""
return [
CabinEnvironment(500, True, 'day', 22, 45),
CabinEnvironment(50, True, 'dusk', 18, 50),
CabinEnvironment(5, True, 'night', 15, 55),
CabinEnvironment(100, True, 'tunnel', 20, 60),
]
def generate_scenario_matrix(self) -> List[SyntheticScenario]:
"""生成全场景矩阵"""
scenarios = []
for occ in self.occupant_templates:
for env in self.environment_templates:
for scenario_id, desc in {**self.DSM_SCENARIOS, **self.OMS_SCENARIOS}.items():
scenario = SyntheticScenario(
scenario_id=f"{scenario_id}_{occ.gender}_{env.time_of_day}",
occupants=[occ],
environment=env,
camera_config={
'resolution': (1600, 1200),
'fps': 30,
'ir_wavelength_nm': 940,
'fov_deg': 120,
},
expected_detection=self._get_expected_detection(scenario_id, occ)
)
scenarios.append(scenario)
return scenarios
def _get_expected_detection(self, scenario_id: str, occ: CabinOccupant) -> dict:
"""根据场景和乘员生成预期检测结果"""
if occ.weight_kg == 0:
return {'occupant_present': False, 'classification': 'empty'}
if scenario_id.startswith('CPD'):
return {
'occupant_present': True,
'classification': 'child' if occ.age <= 3 else 'adult',
'belt_status': occ.belt_status,
'posture': occ.posture,
'occlusion': occ.遮挡
}
if scenario_id.startswith('F'):
return {
'drowsiness_level': 'fatigued',
'perclos': 0.3 if 'F-01' in scenario_id else 0.15,
}
if scenario_id.startswith('D'):
return {
'distraction_level': 'distracted' if 'D-02' in scenario_id or 'D-03' in scenario_id else 'normal',
'gaze_direction': 'away' if 'D-02' in scenario_id or 'D-05' in scenario_id else 'forward',
}
return {'occupant_present': True, 'classification': 'unknown'}
if __name__ == "__main__":
generator = SyntheticDataGenerator()
scenarios = generator.generate_scenario_matrix()
print(f"生成场景总数: {len(scenarios)}")
dsm_count = sum(1 for s in scenarios if s.scenario_id.startswith('D') or s.scenario_id.startswith('F'))
oms_count = sum(1 for s in scenarios if s.scenario_id.startswith('O'))
cpd_count = sum(1 for s in scenarios if s.scenario_id.startswith('CPD'))
print(f" DSM 场景: {dsm_count}")
print(f" OMS 场景: {oms_count}")
print(f" CPD 场景: {cpd_count}")
example = scenarios[0]
print(f"\n示例场景: {example.scenario_id}")
print(f" 乘员: {example.occupants[0].gender}, {example.occupants[0].age}岁")
print(f" 环境: {example.environment.time_of_day}, {example.environment.illumination_lux}lux")
print(f" 预期: {example.expected_detection}")
|