Euro NCAP 2026 无响应驾驶员干预系统（ESF）设计与实现

无响应驾驶员定义

Euro NCAP 2026 定义无响应驾驶员（Unresponsive Driver）为：

判定条件（满足任一）：
1. 分心警告后 3 秒内视线未回到道路
2. 眼睛持续闭合 ≥6 秒
3. 无头部运动 + 无转向输入 + 无踏板输入

触发条件：
- 速度 ≥50km/h
- 系统检测到驾驶员异常状态

ESF（Emergency Stop Function）系统架构

整体设计

┌─────────────────────────────────────────────────────────┐
│                  ESF 系统架构                            │
├─────────────────────────────────────────────────────────┤
│                                                         │
│  ┌─────────┐    ┌─────────┐    ┌─────────────────┐     │
│  │ DMS 检测 │───→│ 状态判断 │───→│ 干预决策        │     │
│  └─────────┘    └─────────┘    └─────────────────┘     │
│       │              │                  │              │
│       ↓              ↓                  ↓              │
│  ┌─────────┐    ┌─────────┐    ┌─────────────────┐     │
│  │ 眼动状态 │    │ ADAS 状态 │   │ 执行机构        │     │
│  │ 头部姿态 │    │ 车辆状态  │   │ 转向/制动/灯光  │     │
│  │ 手部位置 │    │ 道路环境  │   │ HMI 警告       │     │
│  └─────────┘    └─────────┘    └─────────────────┘     │
│                                                         │
└─────────────────────────────────────────────────────────┘

干预级别

级别	触发条件	系统响应
Level 1	检测到分心	视觉警告
Level 2	分心持续	视觉 + 听觉警告
Level 3	无响应确认	FCW/AEB 灵敏度提高
Level 4	持续无响应	LKA/LDW 调整
Level 5	严重无响应	ESF 启动（靠边停车）

核心算法实现

无响应检测器

import numpy as np
from typing import Dict, Optional
from dataclasses import dataclass
from enum import Enum
import time

class UnresponsiveState(Enum):
    """无响应状态枚举"""
    NORMAL = "normal"                    # 正常
    DISTRACTED = "distracted"            # 分心
    WARNED = "warned"                    # 已警告
    UNRESPONSIVE = "unresponsive"        # 无响应
    CRITICAL = "critical"                # 严重无响应


@dataclass
class DriverState:
    """驾驶员状态"""
    timestamp: float
    eyes_closed: bool
    eyes_closed_duration: float
    gaze_on_road: bool
    head_movement_detected: bool
    hand_on_wheel: bool


@dataclass
class VehicleState:
    """车辆状态"""
    timestamp: float
    speed: float
    steering_angle: float
    throttle: float
    brake: float
    lane_position: float


class UnresponsiveDriverDetector:
    """
    无响应驾驶员检测器
    
    Euro NCAP 2026 合规实现
    """
    
    def __init__(self):
        # 检测参数
        self.gaze_return_timeout = 3.0      # 分心警告后视线返回超时
        self.eyes_closed_threshold = 6.0    # 眼睛闭合阈值
        self.no_movement_threshold = 10.0   # 无动作阈值
        
        # 状态跟踪
        self.current_state = UnresponsiveState.NORMAL
        self.state_start_time: Optional[float] = None
        self.warning_issued_time: Optional[float] = None
        
        # 历史数据
        self.driver_state_history: list = []
        self.vehicle_state_history: list = []
        
    def update(self, 
               driver_state: DriverState,
               vehicle_state: VehicleState) -> Dict:
        """
        更新检测状态
        
        Args:
            driver_state: 驾驶员状态
            vehicle_state: 车辆状态
            
        Returns:
            result: 检测结果
        """
        current_time = driver_state.timestamp
        
        # 检查速度条件
        if vehicle_state.speed < 50:  # km/h
            return self._normal_result("Speed below threshold")
        
        # 添加到历史
        self.driver_state_history.append(driver_state)
        self.vehicle_state_history.append(vehicle_state)
        
        # 维护历史长度
        max_history = 300  # 10秒 @ 30Hz
        if len(self.driver_state_history) > max_history:
            self.driver_state_history.pop(0)
            self.vehicle_state_history.pop(0)
        
        # 检测逻辑
        result = self._detect(current_time, driver_state, vehicle_state)
        
        return result
    
    def _detect(self, 
                current_time: float,
                driver_state: DriverState,
                vehicle_state: VehicleState) -> Dict:
        """执行检测"""
        
        # 条件 1：眼睛持续闭合 ≥6 秒
        if driver_state.eyes_closed and driver_state.eyes_closed_duration >= self.eyes_closed_threshold:
            return self._transition_state(
                UnresponsiveState.CRITICAL,
                current_time,
                "Eyes closed for >= 6 seconds"
            )
        
        # 条件 2：分心警告后 3 秒视线未返回
        if self.current_state == UnresponsiveState.WARNED:
            if self.warning_issued_time is not None:
                time_since_warning = current_time - self.warning_issued_time
                
                if time_since_warning >= self.gaze_return_timeout:
                    if not driver_state.gaze_on_road:
                        return self._transition_state(
                            UnresponsiveState.UNRESPONSIVE,
                            current_time,
                            "Gaze not returned after warning"
                        )
        
        # 条件 3：无动作检测
        no_movement = self._check_no_movement(driver_state, vehicle_state)
        if no_movement['detected'] and no_movement['duration'] >= self.no_movement_threshold:
            return self._transition_state(
                UnresponsiveState.UNRESPONSIVE,
                current_time,
                "No movement detected"
            )
        
        # 状态更新
        if driver_state.gaze_on_road and not driver_state.eyes_closed:
            return self._transition_state(
                UnresponsiveState.NORMAL,
                current_time,
                "Driver responsive"
            )
        elif not driver_state.gaze_on_road:
            if self.current_state == UnresponsiveState.NORMAL:
                return self._transition_state(
                    UnresponsiveState.DISTRACTED,
                    current_time,
                    "Driver distracted"
                )
        
        return self._current_result()
    
    def _check_no_movement(self, 
                          driver_state: DriverState,
                          vehicle_state: VehicleState) -> Dict:
        """检测无动作"""
        # 检查历史数据中的动作
        recent_driver = self.driver_state_history[-100:]  # 最近 3.3 秒
        
        head_movement = any(s.head_movement_detected for s in recent_driver)
        hand_on_wheel = any(s.hand_on_wheel for s in recent_driver)
        
        # 检查车辆输入
        recent_vehicle = self.vehicle_state_history[-100:]
        
        steering_change = any(
            abs(v.steering_angle - recent_vehicle[0].steering_angle) > 5 
            for v in recent_vehicle
        )
        
        throttle_input = any(v.throttle > 0.1 for v in recent_vehicle)
        brake_input = any(v.brake > 0.1 for v in recent_vehicle)
        
        # 无动作判定
        no_movement = not (head_movement or hand_on_wheel or 
                          steering_change or throttle_input or brake_input)
        
        return {
            'detected': no_movement,
            'duration': len(recent_driver) / 30.0 if no_movement else 0.0
        }
    
    def _transition_state(self, 
                         new_state: UnresponsiveState,
                         timestamp: float,
                         reason: str) -> Dict:
        """状态转换"""
        old_state = self.current_state
        self.current_state = new_state
        
        if new_state == UnresponsiveState.WARNED:
            self.warning_issued_time = timestamp
        
        return {
            'state': new_state.value,
            'state_changed': old_state != new_state,
            'previous_state': old_state.value,
            'timestamp': timestamp,
            'reason': reason,
            'esf_required': new_state == UnresponsiveState.CRITICAL
        }
    
    def _current_result(self) -> Dict:
        """返回当前状态"""
        return {
            'state': self.current_state.value,
            'state_changed': False,
            'esf_required': False
        }
    
    def _normal_result(self, reason: str) -> Dict:
        """返回正常状态"""
        return {
            'state': UnresponsiveState.NORMAL.value,
            'state_changed': False,
            'reason': reason,
            'esf_required': False
        }

ESF 执行控制器

class ESFController:
    """
    紧急停止功能（ESF）控制器
    
    执行最小风险策略（MRM）
    """
    
    def __init__(self):
        # ESF 状态
        self.esf_active = False
        self.esf_start_time: Optional[float] = None
        
        # 干预参数
        self.deceleration_rate = 3.0       # m/s²
        self.target_stop_duration = 30.0   # 秒
        
        # HMI 控制
        self.hmi_controller = HMIController()
        
        # ADAS 接口
        self.adas_interface = ADASInterface()
        
    def execute_esf(self, 
                   vehicle_state: VehicleState,
                   road_context: Dict) -> Dict:
        """
        执行紧急停止功能
        
        Args:
            vehicle_state: 当前车辆状态
            road_context: 道路环境信息
            
        Returns:
            action: 执行的动作
        """
        if not self.esf_active:
            self.esf_active = True
            self.esf_start_time = vehicle_state.timestamp
        
        # 1. 激活危险警示灯
        self.hmi_controller.activate_hazard_lights()
        
        # 2. 发出语音警告
        self.hmi_controller.play_warning("Emergency stop initiated")
        
        # 3. 减速策略
        current_speed = vehicle_state.speed / 3.6  # 转换为 m/s
        
        # 检查是否可以靠边停车
        if road_context.get('right_lane_available', False):
            # 向右变道 + 减速
            action = {
                'type': 'lane_change_and_stop',
                'target_lane': 'right',
                'deceleration': self.deceleration_rate,
                'steering_angle': self._calculate_lane_change_steering(road_context)
            }
        else:
            # 仅减速停车
            action = {
                'type': 'stop_in_lane',
                'deceleration': self.deceleration_rate,
                'target_speed': 0.0
            }
        
        # 4. 调整 ADAS 参数
        self.adas_interface.set_fcw_sensitivity('maximum')
        self.adas_interface.set_aeb_enabled(True)
        self.adas_interface.set_lka_enabled(True)
        
        # 5. 发送 eCall（如果配置）
        if self._should_trigger_ecall(vehicle_state):
            self._trigger_ecall()
        
        return action
    
    def _calculate_lane_change_steering(self, road_context: Dict) -> float:
        """计算变道转向角度"""
        # 简化实现
        return 3.0  # 度
    
    def _should_trigger_ecall(self, vehicle_state: VehicleState) -> bool:
        """判断是否触发 eCall"""
        # 如果车辆已停止且驾驶员仍无响应
        return vehicle_state.speed < 5 and self.esf_active
    
    def _trigger_ecall(self):
        """触发紧急呼叫"""
        # 实现 eCall 触发逻辑
        pass
    
    def cancel_esf(self):
        """取消 ESF"""
        self.esf_active = False
        self.esf_start_time = None
        
        self.hmi_controller.deactivate_hazard_lights()
        self.adas_interface.reset_sensitivity()


class HMIController:
    """HMI 控制器"""
    
    def __init__(self):
        self.hazard_lights_active = False
        self.current_warning = None
        
    def activate_hazard_lights(self):
        """激活危险警示灯"""
        self.hazard_lights_active = True
        # 实际调用车辆 CAN 接口
        
    def deactivate_hazard_lights(self):
        """关闭危险警示灯"""
        self.hazard_lights_active = False
        
    def play_warning(self, message: str):
        """播放语音警告"""
        self.current_warning = message
        # 实际调用音频播放接口


class ADASInterface:
    """ADAS 接口"""
    
    def __init__(self):
        self.fcw_sensitivity = 'normal'
        self.aeb_enabled = True
        self.lka_enabled = True
        
    def set_fcw_sensitivity(self, level: str):
        """设置 FCW 灵敏度"""
        self.fcw_sensitivity = level
        
    def set_aeb_enabled(self, enabled: bool):
        """设置 AEB 启用状态"""
        self.aeb_enabled = enabled
        
    def set_lka_enabled(self, enabled: bool):
        """设置 LKA 启用状态"""
        self.lka_enabled = enabled
        
    def reset_sensitivity(self):
        """重置灵敏度"""
        self.fcw_sensitivity = 'normal'

完整系统集成

class UnresponsiveDriverInterventionSystem:
    """
    无响应驾驶员干预系统
    
    集成 DMS 检测和 ESF 执行
    """
    
    def __init__(self):
        self.detector = UnresponsiveDriverDetector()
        self.esf_controller = ESFController()
        
        # 干预策略
        self.intervention_strategy = InterventionStrategy()
        
    def process(self,
               driver_state: DriverState,
               vehicle_state: VehicleState,
               road_context: Dict) -> Dict:
        """
        处理单帧数据
        
        Args:
            driver_state: 驾驶员状态
            vehicle_state: 车辆状态
            road_context: 道路环境
            
        Returns:
            intervention: 干预动作
        """
        # 1. 检测无响应状态
        detection_result = self.detector.update(driver_state, vehicle_state)
        
        # 2. 根据状态选择干预策略
        if detection_result['state'] == 'critical':
            # 启动 ESF
            action = self.esf_controller.execute_esf(vehicle_state, road_context)
        elif detection_result['state'] == 'unresponsive':
            # 准备干预
            action = self.intervention_strategy.prepare_intervention(vehicle_state)
        elif detection_result['state'] == 'warned':
            # 发出警告
            action = self.intervention_strategy.issue_warning()
        else:
            # 正常状态
            action = {'type': 'none'}
        
        return {
            'detection': detection_result,
            'intervention': action
        }


class InterventionStrategy:
    """干预策略"""
    
    def __init__(self):
        self.warning_level = 0
        
    def prepare_intervention(self, vehicle_state: VehicleState) -> Dict:
        """准备干预"""
        return {
            'type': 'prepare',
            'actions': ['increase_fcw_sensitivity', 'enable_aeb', 'monitor_lane']
        }
    
    def issue_warning(self) -> Dict:
        """发出警告"""
        self.warning_level += 1
        
        return {
            'type': 'warning',
            'level': self.warning_level,
            'modalities': ['visual', 'auditory', 'haptic']
        }

Euro NCAP 2026 测试场景

场景	测试内容	通过条件
UD-01	眼睛闭合 6 秒	ESF 启动，车辆减速停车
UD-02	分心警告后视线未返回	状态升级为 Unresponsive
UD-03	无动作 10 秒	检测并发出警告
UD-04	ESF 执行中驾驶员恢复	ESF 取消，控制权交还
UD-05	低速场景（<50km/h）	ESF 不启动

IMS 开发启示

1. 系统集成要点

DMS 输出 → 无响应检测 → ADAS 接口 → 车辆控制
     ↓           ↓            ↓           ↓
   眼动状态    状态判断      FCW/AEB     转向/制动
   头部姿态    时间判断      LKA/LDW     灯光/HMI
   手部检测    阈值判断      eCall       语音警告

2. 安全设计原则

原则	实现方式
冗余检测	多模态融合（眼动 + 头部 + 车辆输入）
分级响应	渐进式干预（警告 → 准备 → 执行）
可恢复性	驾驶员响应后立即取消干预
日志记录	全程记录用于事后分析

3. CAN 信号需求

信号	来源	用途
车速	ESC	激活条件判断
转向角	SAS	动作检测
油门踏板	ECM	动作检测
刹车踏板	ESC	动作检测
车道位置	LKA	停车位置判断

---

参考来源：

• Euro NCAP 2026 Protocols
• Smart Eye Driver Monitoring 2026
• Unresponsive Driver Detection