Euro NCAP 2026无响应驾驶员干预系统设计指南

发表于 2026-06-03 更新于 2026-06-04 分类于 IMS研究

Euro NCAP 2026无响应驾驶员干预系统设计指南

法规背景

Euro NCAP 2026新要求

Euro NCAP 2026协议新增**无响应驾驶员干预（Unresponsive Driver Intervention）**要求：

当驾驶员因医疗紧急情况或极端中毒导致无响应时，系统必须能够检测并安全地将车辆停至路边。

检测场景

场景	触发条件	系统响应
医疗紧急	心脏病、中风、癫痫	警告 → 减速 → 停车
极端疲劳	深度睡眠、意识模糊	警告 → 减速 → 停车
酒精/药物	严重损伤、无意识	警告 → 减速 → 停车

系统架构

1. 无响应驾驶员检测

"""
无响应驾驶员检测系统

核心功能：
1. 驾驶员状态监测
2. 无响应判断逻辑
3. 分级警告触发
4. 与ADAS协同干预
"""

import numpy as np
import time
from typing import Dict, List, Tuple, Optional
from enum import Enum
from dataclasses import dataclass
import threading
import queue


class DriverState(Enum):
    """驾驶员状态"""
    NORMAL = "normal"
    DISTRACTED = "distracted"
    FATIGUED = "fatigued"
    IMPAIRED = "impaired"
    UNRESPONSIVE = "unresponsive"


class AlertLevel(Enum):
    """警告级别"""
    NONE = 0
    LEVEL_1 = 1  # 声音提醒
    LEVEL_2 = 2  # 声音+振动
    LEVEL_3 = 3  # 紧急停车准备
    EMERGENCY = 4  # 自动停车


@dataclass
class UnresponsiveIndicators:
    """无响应指标"""
    eyes_closed_duration: float  # 闭眼时长（秒）
    no_steering_input: float  # 无转向输入时长
    no_pedal_input: float  # 无踏板输入时长
    head_position_abnormal: bool  # 头部位置异常
    no_response_to_warning: bool  # 对警告无响应
    breath_rate_abnormal: bool  # 呼吸异常（可选）


class UnresponsiveDriverDetector:
    """无响应驾驶员检测器"""
    
    def __init__(
        self,
        eyes_closed_threshold: float = 5.0,  # 5秒闭眼
        no_input_threshold: float = 10.0,  # 10秒无输入
        warning_response_timeout: float = 5.0,  # 5秒警告响应超时
        history_window: int = 300  # 10秒历史窗口（30fps）
    ):
        self.eyes_closed_threshold = eyes_closed_threshold
        self.no_input_threshold = no_input_threshold
        self.warning_response_timeout = warning_response_timeout
        self.history_window = history_window
        
        # 状态历史
        self.state_history = []
        self.indicator_history = []
        
        # 警告状态
        self.warning_active = False
        self.warning_start_time = None
        
        # 统计
        self.stats = {
            'warnings_issued': 0,
            'emergencies_triggered': 0,
            'false_positives': 0
        }
    
    def update(
        self,
        dms_result: Dict,
        vehicle_data: Dict
    ) -> Tuple[DriverState, AlertLevel, Dict]:
        """
        更新检测状态
        
        Args:
            dms_result: DMS检测结果
            vehicle_data: 车辆状态数据
        
        Returns:
            state: 驾驶员状态
            alert_level: 警告级别
            metadata: 元数据
        """
        # 提取指标
        indicators = self._extract_indicators(dms_result, vehicle_data)
        
        # 更新历史
        self.indicator_history.append(indicators)
        if len(self.indicator_history) > self.history_window:
            self.indicator_history.pop(0)
        
        # 判断状态
        state = self._determine_state(indicators)
        
        # 确定警告级别
        alert_level = self._determine_alert_level(state, indicators)
        
        return state, alert_level, {'indicators': indicators}
    
    def _extract_indicators(
        self,
        dms_result: Dict,
        vehicle_data: Dict
    ) -> UnresponsiveIndicators:
        """提取无响应指标"""
        # 闭眼时长
        eyes_closed_duration = dms_result.get('eyes_closed_duration', 0.0)
        
        # 无输入时长
        no_steering_input = vehicle_data.get('time_since_steering', 0.0)
        no_pedal_input = vehicle_data.get('time_since_pedal', 0.0)
        
        # 头部位置
        head_pose = dms_result.get('head_pose', [0, 0, 0])
        head_position_abnormal = (
            abs(head_pose[0]) > 30 or  # 低头
            abs(head_pose[1]) > 45     # 左右偏
        )
        
        # 对警告无响应
        no_response_to_warning = (
            self.warning_active and
            (time.time() - self.warning_start_time > self.warning_response_timeout)
            if self.warning_start_time else False
        )
        
        return UnresponsiveIndicators(
            eyes_closed_duration=eyes_closed_duration,
            no_steering_input=no_steering_input,
            no_pedal_input=no_pedal_input,
            head_position_abnormal=head_position_abnormal,
            no_response_to_warning=no_response_to_warning,
            breath_rate_abnormal=False  # 需要雷达/传感器
        )
    
    def _determine_state(
        self,
        indicators: UnresponsiveIndicators
    ) -> DriverState:
        """判断驾驶员状态"""
        # 无响应判断
        is_unresponsive = (
            indicators.eyes_closed_duration > self.eyes_closed_threshold or
            (indicators.no_steering_input > self.no_input_threshold and
             indicators.no_pedal_input > self.no_input_threshold) or
            (indicators.head_position_abnormal and
             indicators.no_response_to_warning)
        )
        
        if is_unresponsive:
            return DriverState.UNRESPONSIVE
        
        # 其他状态
        if indicators.eyes_closed_duration > 2.0:
            return DriverState.FATIGUED
        
        if indicators.head_position_abnormal:
            return DriverState.DISTRACTED
        
        return DriverState.NORMAL
    
    def _determine_alert_level(
        self,
        state: DriverState,
        indicators: UnresponsiveIndicators
    ) -> AlertLevel:
        """确定警告级别"""
        if state == DriverState.UNRESPONSIVE:
            # 激活警告
            if not self.warning_active:
                self.warning_active = True
                self.warning_start_time = time.time()
                self.stats['warnings_issued'] += 1
            
            # 检查是否需要紧急停车
            if indicators.no_response_to_warning:
                self.stats['emergencies_triggered'] += 1
                return AlertLevel.EMERGENCY
            
            return AlertLevel.LEVEL_3
        
        # 重置警告状态
        if state == DriverState.NORMAL:
            self.warning_active = False
            self.warning_start_time = None
            return AlertLevel.NONE
        
        if state == DriverState.FATIGUED:
            return AlertLevel.LEVEL_2
        
        if state == DriverState.DISTRACTED:
            return AlertLevel.LEVEL_1
        
        return AlertLevel.NONE


class ADASIntegration:
    """ADAS集成接口"""
    
    def __init__(self):
        # ADAS控制接口
        self.adas_state = {
            'acc_active': False,
            'lka_active': False,
            'aeb_ready': False,
            'emergency_stop_ready': False
        }
        
        # 干预策略
        self.intervention_strategies = {
            AlertLevel.LEVEL_1: self._level_1_intervention,
            AlertLevel.LEVEL_2: self._level_2_intervention,
            AlertLevel.LEVEL_3: self._level_3_intervention,
            AlertLevel.EMERGENCY: self._emergency_intervention
        }
    
    def execute_intervention(
        self,
        alert_level: AlertLevel,
        context: Dict
    ) -> Dict:
        """
        执行干预
        
        Args:
            alert_level: 警告级别
            context: 上下文信息
        
        Returns:
            result: 干预结果
        """
        if alert_level == AlertLevel.NONE:
            return {'action': 'none'}
        
        strategy = self.intervention_strategies.get(alert_level)
        if strategy:
            return strategy(context)
        
        return {'action': 'unknown', 'error': 'No strategy found'}
    
    def _level_1_intervention(self, context: Dict) -> Dict:
        """Level 1干预：声音提醒"""
        return {
            'action': 'audio_warning',
            'sound_type': 'chime',
            'duration_ms': 1000,
            'message': 'Please stay alert'
        }
    
    def _level_2_intervention(self, context: Dict) -> Dict:
        """Level 2干预：声音+振动+ADAS准备"""
        # 提高ADAS敏感度
        self.adas_state['aeb_ready'] = True
        
        return {
            'action': 'multi_modal_warning',
            'audio': {'type': 'alarm', 'duration_ms': 2000},
            'haptic': {'type': 'steering_vibration', 'intensity': 0.7},
            'adas': {'aeb_sensitivity': 'high'},
            'message': 'Please take a break'
        }
    
    def _level_3_intervention(self, context: Dict) -> Dict:
        """Level 3干预：紧急停车准备"""
        # 激活紧急停车功能
        self.adas_state['emergency_stop_ready'] = True
        
        return {
            'action': 'emergency_preparation',
            'audio': {'type': 'urgent_alarm', 'duration_ms': 3000},
            'haptic': {'type': 'seat_vibration', 'intensity': 1.0},
            'adas': {
                'emergency_stop_ready': True,
                'hazard_lights': True,
                'deceleration_prep': True
            },
            'message': 'Emergency stop preparing'
        }
    
    def _emergency_intervention(self, context: Dict) -> Dict:
        """紧急干预：自动停车"""
        # 执行紧急停车
        return {
            'action': 'emergency_stop',
            'steps': [
                {'action': 'hazard_lights', 'state': True},
                {'action': 'decelerate', 'rate_mps2': 3.0},
                {'action': 'steer_to_safe_stop', 'lane': 'right'},
                {'action': 'call_emergency_services', 'auto': True},
                {'action': 'unlock_doors', 'after_stop': True}
            ],
            'message': 'Emergency stop initiated'
        }


class UnresponsiveDriverSystem:
    """完整的无响应驾驶员系统"""
    
    def __init__(self):
        self.detector = UnresponsiveDriverDetector()
        self.adas = ADASIntegration()
        
        # 运行状态
        self.running = False
        self.thread = None
        
        # 输入队列
        self.input_queue = queue.Queue()
        self.output_queue = queue.Queue()
    
    def start(self):
        """启动系统"""
        self.running = True
        self.thread = threading.Thread(target=self._run_loop)
        self.thread.daemon = True
        self.thread.start()
    
    def stop(self):
        """停止系统"""
        self.running = False
        if self.thread:
            self.thread.join(timeout=1.0)
    
    def process(
        self,
        dms_result: Dict,
        vehicle_data: Dict
    ) -> Dict:
        """
        处理输入
        
        Args:
            dms_result: DMS结果
            vehicle_data: 车辆数据
        
        Returns:
            result: 处理结果
        """
        # 放入队列
        self.input_queue.put((dms_result, vehicle_data))
        
        # 获取结果
        try:
            return self.output_queue.get(timeout=0.1)
        except queue.Empty:
            return {'status': 'processing'}
    
    def _run_loop(self):
        """主循环"""
        while self.running:
            try:
                # 获取输入
                dms_result, vehicle_data = self.input_queue.get(timeout=0.1)
                
                # 检测
                state, alert_level, metadata = self.detector.update(
                    dms_result, vehicle_data
                )
                
                # 干预
                intervention = self.adas.execute_intervention(
                    alert_level, metadata
                )
                
                # 输出结果
                result = {
                    'driver_state': state.value,
                    'alert_level': alert_level.value,
                    'intervention': intervention,
                    'metadata': metadata
                }
                
                self.output_queue.put(result)
                
            except queue.Empty:
                continue


# Euro NCAP测试场景
class EuroNCAPTestScenarios:
    """Euro NCAP测试场景"""
    
    @staticmethod
    def get_test_scenarios() -> List[Dict]:
        """获取测试场景"""
        return [
            {
                'id': 'UDI-01',
                'name': 'Medical Emergency - Cardiac',
                'description': 'Driver suffers cardiac arrest while driving',
                'trigger': {
                    'eyes_closed_duration': 10.0,
                    'no_steering_input': 8.0,
                    'head_down': True
                },
                'expected_response': {
                    'detection_time': '<10s',
                    'warning_level': 'LEVEL_3',
                    'intervention': 'emergency_stop'
                }
            },
            {
                'id': 'UDI-02',
                'name': 'Extreme Fatigue - Microsleep',
                'description': 'Driver falls into deep sleep',
                'trigger': {
                    'eyes_closed_duration': 8.0,
                    'no_steering_input': 6.0,
                    'perclos': 0.5
                },
                'expected_response': {
                    'detection_time': '<8s',
                    'warning_level': 'LEVEL_3',
                    'intervention': 'emergency_stop'
                }
            },
            {
                'id': 'UDI-03',
                'name': 'Alcohol Impairment - Unconscious',
                'description': 'Driver loses consciousness due to alcohol',
                'trigger': {
                    'eyes_closed_duration': 5.0,
                    'no_pedal_input': 5.0,
                    'head_tilt': 45
                },
                'expected_response': {
                    'detection_time': '<10s',
                    'warning_level': 'LEVEL_3',
                    'intervention': 'emergency_stop'
                }
            }
        ]


# 测试
if __name__ == "__main__":
    # 创建系统
    system = UnresponsiveDriverSystem()
    
    # 获取测试场景
    scenarios = EuroNCAPTestScenarios.get_test_scenarios()
    
    print("Euro NCAP 无响应驾驶员干预测试场景：")
    for s in scenarios:
        print(f"\n场景 {s['id']}: {s['name']}")
        print(f"  描述: {s['description']}")
        print(f"  触发条件: {s['trigger']}")
        print(f"  预期响应: {s['expected_response']}")
    
    print("\n系统初始化完成")

2. 紧急停车算法

class EmergencyStopController:
    """紧急停车控制器"""
    
    def __init__(self):
        self.state = 'idle'
        self.target_speed = 0.0
        self.target_lane = 'right'
        
    def plan_emergency_stop(
        self,
        current_speed: float,
        lane_position: float,
        road_type: str = 'highway'
    ) -> Dict:
        """
        规划紧急停车
        
        Args:
            current_speed: 当前速度 (m/s)
            lane_position: 车道位置 (0=最左, 1=最右)
            road_type: 道路类型
        
        Returns:
            plan: 停车计划
        """
        # 根据道路类型选择策略
        if road_type == 'highway':
            return self._highway_stop_plan(current_speed, lane_position)
        elif road_type == 'urban':
            return self._urban_stop_plan(current_speed, lane_position)
        else:
            return self._default_stop_plan(current_speed)
    
    def _highway_stop_plan(
        self,
        speed: float,
        lane_pos: float
    ) -> Dict:
        """高速停车计划"""
        # 计算停车距离
        braking_distance = speed ** 2 / (2 * 3.0)  # 3m/s²减速度
        
        # 是否需要变道
        need_lane_change = lane_pos < 0.7  # 不在最右侧
        
        plan = {
            'phases': []
        }
        
        # Phase 1: 变道（如需要）
        if need_lane_change:
            plan['phases'].append({
                'action': 'lane_change_right',
                'duration': 3.0,
                'lateral_accel': 1.0
            })
        
        # Phase 2: 减速
        plan['phases'].append({
            'action': 'decelerate',
            'initial_speed': speed,
            'final_speed': 0.0,
            'deceleration': 3.0,
            'distance': braking_distance
        })
        
        # Phase 3: 停车后动作
        plan['phases'].append({
            'action': 'post_stop',
            'hazard_lights': True,
            'unlock_doors': True,
            'call_emergency': True
        })
        
        return plan

Euro NCAP合规要点

检测要求

要求	标准	实现建议
响应时间	≤10秒检测	多指标融合判断
误报率	<1次/100小时	时序确认+车辆状态
干预层级	3级警告+停车	分级响应策略

测试场景

Euro NCAP定义的测试场景：

UDI-01: 医疗紧急（心脏骤停）
UDI-02: 极端疲劳（深度睡眠）
UDI-03: 酒精损伤（意识丧失）

IMS应用启示

开发优先级

功能	Euro NCAP要求	开发难度	优先级
疲劳检测	✅ 必需	低	P0
分心检测	✅ 必需	中	P0
无响应检测	✅ 必需	中	P0
紧急停车	⚠️ 额外加分	高	P1

架构建议

1
2
3

DMS Module → Unresponsive Detection → ADAS Interface → Emergency Stop
     ↓              ↓                      ↓                ↓
  眼动分析      多指标判断            车辆控制           安全停车

总结

核心要点

多指标融合：眼动+车辆输入+头部姿态
分级响应：3级警告+紧急停车
ADAS协同：DMS触发ADAS干预
安全停车：变道+减速+紧急呼叫

参考资源：