DMS 与 ADAS 融合：无响应驾驶员干预系统设计（Euro NCAP 2026 要求）

Euro NCAP 2026 要求

无响应驾驶员干预（Unresponsive Driver Intervention）：

当 DMS 检测到驾驶员无响应（失去意识、严重疲劳、突发疾病）时，车辆应自动采取干预措施：

1. 发出警告（视觉 + 听觉 + 触觉）
2. 减速并靠边停车
3. 紧急呼叫服务

评分标准：

分数	功能要求
0-1分	仅警告，无自动干预
2-3分	警告 + 减速 + 靠边停车
4-5分	完整干预链条 + 紧急呼叫

系统架构

graph TB
    subgraph DMS模块
        A[驾驶员状态检测] --> B{状态判断}
        B -->|正常| C[继续监控]
        B -->|疲劳| D[一级警告]
        B -->|无响应| E[触发干预]
    end
    
    subgraph 干预系统
        E --> F[减速控制]
        F --> G[车道保持]
        G --> H[靠边停车]
        H --> I[紧急呼叫]
    end
    
    subgraph ADAS模块
        F --> J[AEB控制器]
        G --> K[LKA控制器]
        H --> L[ESC控制器]
    end

核心算法

1. 无响应检测

"""
无响应驾驶员检测算法

综合判断驾驶员是否失去响应能力
"""

import numpy as np
from typing import Dict, List
from enum import Enum

class DriverState(Enum):
    NORMAL = 0
    FATIGUE_MILD = 1
    FATIGUE_SEVERE = 2
    DISTRACTED = 3
    UNRESPONSIVE = 4
    EMERGENCY = 5


class UnresponsiveDriverDetector:
    """
    无响应驾驶员检测器
    
    综合眼动、头部姿态、操作行为判断
    """
    
    def __init__(self):
        # 检测窗口
        self.window_size = 180  # 6秒 @ 30fps
        
        # 阈值
        self.perclos_threshold_severe = 0.4  # PERCLOS > 40%
        self.eye_closure_duration = 3.0  # 闭眼持续 3秒
        self.head_drop_threshold = 30  # 头部下垂 30度
        self.steering_inactivity = 10  # 方向盘无操作 10秒
        
        # 历史数据
        self.eye_openness_history = []
        self.head_pose_history = []
        self.steering_history = []
        
    def update(self, dms_data: Dict, vehicle_data: Dict) -> DriverState:
        """
        更新状态
        
        Args:
            dms_data: {
                'eye_openness': float,  # 0-1
                'head_pose': (yaw, pitch, roll),  # 度
                'gaze_direction': (x, y, z),
                'blink_detected': bool
            }
            vehicle_data: {
                'steering_angle': float,
                'steering_velocity': float,
                'vehicle_speed': float,
                'lane_position': float
            }
        
        Returns:
            state: DriverState
        """
        # 更新历史数据
        self.eye_openness_history.append(dms_data['eye_openness'])
        self.head_pose_history.append(dms_data['head_pose'])
        self.steering_history.append(vehicle_data['steering_velocity'])
        
        # 保持固定窗口大小
        if len(self.eye_openness_history) > self.window_size:
            self.eye_openness_history.pop(0)
            self.head_pose_history.pop(0)
            self.steering_history.pop(0)
        
        # 状态判断
        state = self._evaluate_state()
        
        return state
    
    def _evaluate_state(self) -> DriverState:
        """
        评估驾驶员状态
        """
        if len(self.eye_openness_history) < self.window_size:
            return DriverState.NORMAL
        
        # 1. 计算最近的 PERCLOS
        perclos = self._calculate_perclos()
        
        # 2. 检测持续闭眼
        continuous_closure = self._detect_continuous_closure()
        
        # 3. 检测头部下垂
        head_drop = self._detect_head_drop()
        
        # 4. 检测方向盘无操作
        steering_inactive = self._detect_steering_inactivity()
        
        # 综合判断
        if continuous_closure or (perclos > self.perclos_threshold_severe and head_drop):
            return DriverState.UNRESPONSIVE
        
        if perclos > 0.3 or head_drop:
            return DriverState.FATIGUE_SEVERE
        
        if perclos > 0.15:
            return DriverState.FATIGUE_MILD
        
        return DriverState.NORMAL
    
    def _calculate_perclos(self) -> float:
        """计算 PERCLOS"""
        window = self.eye_openness_history[-180:]  # 最近 6秒
        closed_count = sum(1 for e in window if e < 0.2)
        return closed_count / len(window)
    
    def _detect_continuous_closure(self) -> bool:
        """检测持续闭眼"""
        window = self.eye_openness_history[-90:]  # 最近 3秒
        return all(e < 0.2 for e in window)
    
    def _detect_head_drop(self) -> bool:
        """检测头部下垂"""
        recent_poses = self.head_pose_history[-30:]  # 最近 1秒
        avg_pitch = np.mean([p[1] for p in recent_poses])
        return avg_pitch > self.head_drop_threshold
    
    def _detect_steering_inactivity(self) -> bool:
        """检测方向盘无操作"""
        window = self.steering_history[-300:]  # 最近 10秒
        return np.std(window) < 0.1


# ============ 干预系统 ============

class InterventionSystem:
    """
    驾驶员干预系统
    
    协调 DMS 和 ADAS 执行干预
    """
    
    def __init__(self):
        self.detector = UnresponsiveDriverDetector()
        
        # 状态
        self.state = DriverState.NORMAL
        self.intervention_active = False
        self.intervention_start_time = None
        
        # 干预阶段
        self.intervention_phase = 0
        
    def process(self, dms_data: Dict, vehicle_data: Dict):
        """
        处理输入数据并执行干预
        """
        # 更新状态
        self.state = self.detector.update(dms_data, vehicle_data)
        
        # 根据状态执行干预
        if self.state == DriverState.UNRESPONSIVE:
            self._trigger_intervention(vehicle_data)
        elif self.state == DriverState.FATIGUE_SEVERE:
            self._issue_warning(level=2)
        elif self.state == DriverState.FATIGUE_MILD:
            self._issue_warning(level=1)
        else:
            self._cancel_intervention()
    
    def _trigger_intervention(self, vehicle_data: Dict):
        """
        触发干预
        """
        if not self.intervention_active:
            self.intervention_active = True
            self.intervention_start_time = time.time()
            self.intervention_phase = 1
            print("[干预] 阶段1：发出紧急警告")
        
        elapsed = time.time() - self.intervention_start_time
        
        # 阶段控制
        if elapsed > 2 and self.intervention_phase == 1:
            self.intervention_phase = 2
            print("[干预] 阶段2：开始减速")
            self._initiate_slowdown(vehicle_data['vehicle_speed'])
        
        if elapsed > 5 and self.intervention_phase == 2:
            self.intervention_phase = 3
            print("[干预] 阶段3：靠边停车")
            self._initiate_pull_over()
        
        if elapsed > 15 and self.intervention_phase == 3:
            self.intervention_phase = 4
            print("[干预] 阶段4：紧急呼叫")
            self._call_emergency_services()
    
    def _issue_warning(self, level: int):
        """发出警告"""
        warnings = {
            1: "轻度疲劳警告",
            2: "严重疲劳警告"
        }
        print(f"[警告] {warnings[level]}")
    
    def _cancel_intervention(self):
        """取消干预"""
        if self.intervention_active:
            print("[干预] 取消干预")
        self.intervention_active = False
        self.intervention_phase = 0
    
    def _initiate_slowdown(self, current_speed: float):
        """
        开始减速
        
        通过 ADAS 发送减速指令
        """
        target_speed = 0
        deceleration_rate = 2.0  # m/s²
        
        # 发送指令到 AEB 控制器
        # self.adas_interface.set_deceleration(deceleration_rate)
    
    def _initiate_pull_over(self):
        """
        靠边停车
        
        通过 LKA 和 ESC 控制
        """
        # 识别安全车道
        # 逐步变道到路肩
        # 完全停车
        pass
    
    def _call_emergency_services(self):
        """
        紧急呼叫
        
        通过 eCall 系统
        """
        # 发送位置和车辆状态
        # 接通紧急服务
        pass

2. ADAS 集成接口

"""
DMS-ADAS 集成接口

定义 DMS 与 ADAS 的通信协议
"""

from dataclasses import dataclass
from enum import Enum
import can


class InterventionCommand(Enum):
    """干预指令类型"""
    NONE = 0
    WARNING_LEVEL_1 = 1
    WARNING_LEVEL_2 = 2
    DECELERATE = 3
    PULL_OVER = 4
    EMERGENCY_STOP = 5


@dataclass
class DMSStatus:
    """DMS 状态消息"""
    driver_state: int  # 0-5 状态码
    confidence: float  # 置信度
    intervention_request: int  # 干预请求
    timestamp: float


class DMSADASInterface:
    """
    DMS-ADAS 通信接口
    
    通过 CAN 总线通信
    """
    
    # CAN 消息 ID
    DMS_STATUS_ID = 0x100
    ADAS_COMMAND_ID = 0x200
    INTERVENTION_REQUEST_ID = 0x300
    
    def __init__(self, can_channel='can0'):
        self.bus = can.interface.Bus(channel=can_channel, bustype='socketcan')
        
    def send_dms_status(self, status: DMSStatus):
        """
        发送 DMS 状态
        
        8字节消息格式：
        - 字节 0: 驾驶员状态
        - 字节 1-2: 置信度 (x1000)
        - 字节 3: 干预请求
        - 字节 4-7: 时间戳
        """
        data = [
            status.driver_state,
            int(status.confidence * 1000) >> 8,
            int(status.confidence * 1000) & 0xFF,
            status.intervention_request,
            int(status.timestamp) >> 24,
            int(status.timestamp) >> 16 & 0xFF,
            int(status.timestamp) >> 8 & 0xFF,
            int(status.timestamp) & 0xFF
        ]
        
        msg = can.Message(
            arbitration_id=self.DMS_STATUS_ID,
            data=data,
            is_extended_id=False
        )
        
        self.bus.send(msg)
    
    def receive_adas_command(self) -> Dict:
        """
        接收 ADAS 命令
        
        Returns:
            command: {
                'intervention_type': int,
                'target_speed': float,
                'target_lane': int,
                'deceleration': float
            }
        """
        msg = self.bus.recv(timeout=0.1)
        
        if msg is None or msg.arbitration_id != self.ADAS_COMMAND_ID:
            return None
        
        return {
            'intervention_type': msg.data[0],
            'target_speed': msg.data[1] / 10.0,  # 0.1 km/h 分辨率
            'target_lane': msg.data[2],
            'deceleration': msg.data[3] / 10.0  # 0.1 m/s² 分辨率
        }
    
    def send_intervention_request(self, command: InterventionCommand):
        """
        发送干预请求
        """
        msg = can.Message(
            arbitration_id=self.INTERVENTION_REQUEST_ID,
            data=[command.value, 0, 0, 0, 0, 0, 0, 0],
            is_extended_id=False
        )
        
        self.bus.send(msg)


# ============ 功能安全 ============

class FunctionalSafetyMonitor:
    """
    功能安全监控
    
    ASIL-B 级别监控
    """
    
    def __init__(self):
        self.watchdog_timeout = 0.1  # 100ms
        self.last_update_time = None
        self.fault_detected = False
        
    def check_dms_availability(self, dms_status: DMSStatus) -> bool:
        """
        检查 DMS 可用性
        """
        # 检查更新频率
        if self.last_update_time is not None:
            elapsed = time.time() - self.last_update_time
            if elapsed > self.watchdog_timeout:
                self.fault_detected = True
                return False
        
        self.last_update_time = time.time()
        
        # 检查置信度
        if dms_status.confidence < 0.5:
            return False
        
        return True
    
    def check_adas_availability(self, adas_command: Dict) -> bool:
        """
        检查 ADAS 可用性
        """
        if adas_command is None:
            return False
        
        return True
    
    def get_safe_state(self) -> InterventionCommand:
        """
        获取安全状态
        
        故障时的降级策略
        """
        if self.fault_detected:
            return InterventionCommand.WARNING_LEVEL_1
        
        return InterventionCommand.NONE

测试场景

Euro NCAP 测试场景

场景编号	描述	测试方法	通过条件
UDI-01	驾驶员失去意识	闭眼 + 无响应 > 10秒	≤15秒内开始干预
UDI-02	严重疲劳	PERCLOS > 40%	≤5秒内发出警告
UDI-03	干预减速	干预触发后	减速率 ≥ 2m/s²
UDI-04	靠边停车	干预触发后	≤30秒内完全停车
UDI-05	紧急呼叫	完全停车后	≤60秒内接通

部署建议

1. 硬件配置

组件	规格	功能
DMS 控制器	QCS8255	状态检测
ADAS 控制器	Orin-X	干预执行
CAN 总线	CAN-FD	通信
紧急呼叫模块	eCall	紧急服务

2. 功能安全

• DMS 模块：ASIL-B
• 干预系统：ASIL-B
• ADAS 接口：ASIL-D

---

总结： 无响应驾驶员干预是 Euro NCAP 2026 高分要求，需要 DMS 与 ADAS 紧密集成。建议采用分级干预策略，确保功能安全和可靠性。