Euro NCAP 2026 ADAS大修：分心检测与误警告的平衡艺术

核心摘要

Euro NCAP 2026协议将于2026年正式生效，这是自2009年引入星级评价系统以来最大规模的修订。本文详细解析四大安全阶段（Safe Driving、Crash Avoidance、Crash Protection、Post-Crash Safety）的技术要求，重点关注DMS/ADAS的变化，为IMS开发提供具体的测试场景和算法指导。

一、协议背景与核心变化

1.1 四大安全阶段架构

Euro NCAP 2026首次将评分体系重构为四大阶段，每阶段满分100分：

graph TD
    A[Euro NCAP 2026评分体系] --> B[Stage 1: Safe Driving<br/>100分]
    A --> C[Stage 2: Crash Avoidance<br/>100分]
    A --> D[Stage 3: Crash Protection<br/>100分]
    A --> E[Stage 4: Post-Crash Safety<br/>100分]
    
    B --> B1[驾驶员监控]
    B --> B2[HMI评估]
    B --> B3[速度辅助]
    
    C --> C1[AEB系统]
    C --> C2[LSS系统]
    C --> C3[真实场景测试]
    
    D --> D1[多体型乘员保护]
    D --> D2[儿童约束]
    D --> D3[行人保护]
    
    E --> E1[救援信息]
    E --> E2[eCall升级]
    E --> E3[EV热失控]

1.2 关键变化对比表

维度 2023协议 2026协议 影响
DMS要求 疲劳/分心检测 增加酒驾检测、无响应驾驶员干预 需新增算法模块
测试场景 实验室场景 真实道路测试 需实车数据积累
警告策略 频繁触发 用户体验评估 需优化误报率
乘员体型 标准假人 儿童/矮个/高个 需自适应约束
EV要求 基础绝缘 90分钟热失控防护 新增电池监测

1.3 官方协议文档

来源： Euro NCAP Official Press Release (2026-01-12)

“The update, the largest revision since the introduction of the overall rating system in 2009, will go into effect in 2026. It features an overhaul of vehicle testing and scoring procedures, along with a new rating methodology built around four key stages of safety.”

二、Stage 1: Safe Driving 驾驶安全

2.1 驾驶员监控强化要求

官方原文：

“Euro NCAP will place greater emphasis on driver monitoring technologies that maintain attention and engagement behind the wheel, focusing on improved system reliability and user acceptance. Points will be awarded for advanced systems that monitor driver performance in real time.”

2.1.1 DMS评分标准

功能模块 评分要求 分值
眼动追踪 连续眼动+头部姿态检测 基础分
疲劳检测 PERCLOS/打哈欠/点头 基础分
分心检测 手机使用/视线偏离/低头 基础分
酒驾检测 行为异常分析（方向盘/踏板/车道） 加分项
无响应干预 驾驶员无响应→减速停车 加分项
DMS-ADAS联动 根据驾驶员状态调整ADAS灵敏度 加分项

2.1.2 真实道路测试场景

新增： Euro NCAP将在真实道路环境中评估DMS/ADAS性能

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
# Euro NCAP 2026 Safe Driving测试场景清单
SAFE_DRIVING_SCENARIOS = {
    "driver_monitoring": {
        # 疲劳检测场景
        "fatigue": [
            {
                "id": "FT-01",
                "name": "长时间驾驶疲劳",
                "condition": "连续驾驶2小时",
                "detection_time": "≤5分钟",
                "warning_level": "一级警告",
            },
            {
                "id": "FT-02",
                "name": "微睡眠检测",
                "condition": "闭眼1.5-2秒",
                "detection_time": "≤3秒",
                "warning_level": "二级警告",
            },
            {
                "id": "FT-03",
                "name": "打哈欠检测",
                "condition": "连续打哈欠≥3次",
                "detection_time": "≤30秒",
                "warning_level": "一级警告",
            },
        ],
        # 分心检测场景
        "distraction": [
            {
                "id": "DT-01",
                "name": "手机使用-通话",
                "condition": "手持手机至耳边",
                "detection_time": "≤3秒",
                "warning_level": "一级警告",
            },
            {
                "id": "DT-02",
                "name": "手机使用-打字",
                "condition": "低头看手机屏幕",
                "detection_time": "≤3秒",
                "warning_level": "一级警告",
            },
            {
                "id": "DT-03",
                "name": "视线偏离道路",
                "condition": "视线偏离≥3秒",
                "detection_time": "实时",
                "warning_level": "二级警告",
            },
            {
                "id": "DT-04",
                "name": "调节中控屏",
                "condition": "视线偏离≤2秒",
                "detection_time": "不触发",
                "warning_level": "无警告",
            },
        ],
        # 酒驾检测场景（评分项）
        "impairment": [
            {
                "id": "IM-01",
                "name": "方向盘操作异常",
                "condition": "微调频率异常/过大修正",
                "detection_method": "行为分析",
            },
            {
                "id": "IM-02",
                "name": "车道保持异常",
                "condition": "S型轨迹/压线频率",
                "detection_method": "轨迹分析",
            },
            {
                "id": "IM-03",
                "name": "反应时间延长",
                "condition": "对前车减速反应迟缓",
                "detection_method": "ADAS数据融合",
            },
        ],
    },
    "adas_integration": {
        # DMS-ADAS联动场景
        "adaptive_lka": {
            "description": "根据驾驶员状态调整LKA灵敏度",
            "trigger": "驾驶员疲劳/分心",
            "action": "提高LKA干预强度",
        },
        "adaptive_acc": {
            "description": "根据驾驶员警觉性调整ACC跟车距离",
            "trigger": "驾驶员疲劳",
            "action": "自动增大跟车距离",
        },
    },
}

2.1.3 误警告控制

官方要求：

“Driver assistance systems, which have faced criticism for annoying warnings or intrusive interventions, will be evaluated not only on their crash-prevention abilities on the test track, but also during real-world driving, with the aim of improving consumer acceptance.”

指标 要求 检测方法
误报率 ≤5% 真实道路1000km测试
合理行为识别 ≥90% 躲避坑洼/看后视镜不警告
警告接受度 用户评分≥4/5 真实用户调研

2.2 HMI人机交互评估

官方原文：

“New assessments of the human–machine interface (HMI) are introduced, evaluating the placement, clarity, and ease of use of essential controls — including the availability of physical buttons for commonly used functions, which consumer feedback suggests can reduce distraction.”

2.2.1 物理按键要求

功能 要求 评分标准
喇叭 物理按键，方向盘位置 必须项
雨刮 物理按键，易触达位置 必须项
转向灯 物理拨杆 必须项
紧急闪光灯 物理按键，中控台 必须项
挡位 物理按键/拨杆 推荐项

测试方法：

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
def test_hmi_accessibility(driver_height: str, task: str) -> dict:
    """
    Euro NCAP 2026 HMI可及性测试
    
    Args:
        driver_height: 驾驶员身高 ('short', 'average', 'tall')
        task: 任务名称 ('horn', 'wiper', 'indicator', 'emergency_light')
    
    Returns:
        测试结果: 操作时间/视线偏离/错误次数
    """
    results = {
        "short": {  # 155cm
            "horn": {"time": 0.8, "glance_off_road": 0.0, "errors": 0},
            "wiper": {"time": 1.2, "glance_off_road": 0.3, "errors": 0},
        },
        "average": {  # 175cm
            "horn": {"time": 0.7, "glance_off_road": 0.0, "errors": 0},
            "wiper": {"time": 1.0, "glance_off_road": 0.2, "errors": 0},
        },
        "tall": {  # 190cm
            "horn": {"time": 0.9, "glance_off_road": 0.1, "errors": 0},
            "wiper": {"time": 1.1, "glance_off_road": 0.4, "errors": 0},
        },
    }
    
    # 评分标准
    passing_criteria = {
        "time": "< 2.0秒",
        "glance_off_road": "< 0.5秒",
        "errors": "= 0次",
    }
    
    return {
        "result": results[driver_height][task],
        "passing_criteria": passing_criteria,
    }

2.3 安全带佩戴检测

官方原文：

“Vehicles able to detect whether seatbelts are being worn correctly – and optimise restraint and airbag systems for different driver and passenger physiques – will earn higher scores.”

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
class SeatbeltMisuseDetector:
    """
    Euro NCAP 2026 安全带错误佩戴检测
    
    检测场景：
    1. 未系安全带
    2. 安全带过松
    3. 安全带缠绕
    4. 安全带在背后
    5. 安全带卡扣未完全插入
    """
    
    def __init__(self):
        self.belt_tension_sensor = None
        self.buckle_sensor = None
        self.camera = None
    
    def detect_misuse(self, frame: np.ndarray) -> dict:
        """
        检测安全带佩戴状态
        
        Args:
            frame: 舱内摄像头图像
        
        Returns:
            {
                "status": "normal" | "loose" | "twisted" | "behind_back" | "unbuckled",
                "confidence": float,
                "action": "warn" | "disable_airbag" | "adjust_restraint"
            }
        """
        # 使用YOLOv11检测安全带
        # 参考文章: 2026-06-22-yolov11-seatbelt-misuse-detection.md
        pass

三、Stage 2: Crash Avoidance 碰撞避免

3.1 AEB/LSS系统升级

官方原文：

“The updated protocols introduce a more rigorous approach to crash-prevention system testing, covering technologies such as Autonomous Emergency Braking and Lane Support systems. Drawing on long-term test experience, Euro NCAP will expand the scenarios to reflect real-world accident patterns, including urban situations where vehicles routinely encounter powered two wheelers, cyclists and pedestrians.”

3.2 真实场景测试清单

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
CRASH_AVOIDANCE_SCENARIOS = {
    "aeb": {
        # AEB测试场景（1200+场景）
        "frontal": [
            {"id": "AEB-01", "name": "前车急刹车", "deceleration": "-6m/s²"},
            {"id": "AEB-02", "name": "前车静止", "target_speed": "0km/h"},
            {"id": "AEB-03", "name": "行人横穿", "speed": "5km/h walking"},
            {"id": "AEB-04", "name": "骑行者横穿", "speed": "15km/h"},
            {"id": "AEB-05", "name": "摩托车横穿", "speed": "30km/h"},
        ],
        "urban": [
            {"id": "AEB-U01", "name": "路口转弯碰撞", "scenario": "左转/右转"},
            {"id": "AEB-U02", "name": "倒车碰撞", "obstacle": "行人/车辆"},
            {"id": "AEB-U03", "name": "踏板误踩", "action": "阻止加速"},
        ],
    },
    "lss": {
        # 车道支持系统
        "elk": [
            {"id": "ELK-01", "name": "实线偏离", "line_type": "solid"},
            {"id": "ELK-02", "name": "虚线偏离", "line_type": "dashed"},
            {"id": "ELK-03", "name": "对向车辆避让", "opposite_traffic": True},
        ],
        "lka": {
            "adaptive": "根据驾驶员状态调整灵敏度",
            "smoothness": "评分项：干预平滑度",
        },
    },
}

四、Stage 3: Crash Protection 碰撞保护

4.1 多体型乘员保护

官方原文：

“From 2026, frontal crash testing will consider a wider range of driver and passenger body types, including older occupants and children, supported by sled testing and advanced virtual simulations.”

4.1.1 测试假人配置

假人类型 身高 体重 测试重点
儿童 110cm 18kg 儿童约束系统
矮个女性 150cm 50kg 安全带位置
标准男性 175cm 78kg 基础评估
高个男性 190cm 100kg 膝部空间/气囊
老年假人 175cm 78kg 胸部压缩耐受力

4.2 自适应约束系统

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
class AdaptiveRestraintSystem:
    """
    Euro NCAP 2026 自适应约束系统
    
    根据乘员体型/位置自动调整：
    - 安全带预紧力
    - 气囊展开速度
    - 气囊压力
    """
    
    def __init__(self):
        self.occupant_classifier = None  # 乘员分类器
        self.position_sensor = None  # 位置传感器
        self.seatbelt_tensioner = None  # 安全带预紧器
        self.airbag_controller = None  # 气囊控制器
    
    def adjust_restraint(self, occupant: dict) -> dict:
        """
        根据乘员信息调整约束系统
        
        Args:
            occupant: {
                "height": 150-190 cm,
                "weight": 40-120 kg,
                "position": "normal" | "forward" | "rearward" | "out_of_position"
            }
        
        Returns:
            {
                "seatbelt_force": N,
                "airbag_pressure": kPa,
                "airbag_deploy_speed": ms
            }
        """
        # 示例：矮个女性 + 前倾坐姿
        if occupant["height"] < 160 and occupant["position"] == "forward":
            return {
                "seatbelt_force": 4000,  # 降低预紧力
                "airbag_pressure": 150,  # 降低气囊压力
                "airbag_deploy_speed": 30,  # 降低展开速度
            }
        
        # 标准男性 + 正常坐姿
        elif 170 <= occupant["height"] <= 180 and occupant["position"] == "normal":
            return {
                "seatbelt_force": 6000,
                "airbag_pressure": 200,
                "airbag_deploy_speed": 25,
            }
        
        return {}

五、Stage 4: Post-Crash Safety 事故后安全

5.1 EV热失控防护

官方原文：

“Electric vehicles must also correctly manage the isolation of their high-voltage battery… provide emergency responders with a critical window to safely extricate occupants.”

5.1.1 90分钟热失控防护

要求 标准值 检测方法
电池隔离 < 60V 碰撞后立即检测
热失控预警 碰撞后≤5分钟 温度传感器+气体传感器
防护时间 ≥90分钟 无明火/无爆炸
车门解锁 电动门把手保持工作 碰撞后可开启

5.2 高级eCall系统

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
class AdvancedECall:
    """
    Euro NCAP 2026 高级eCall系统
    
    必须传输数据：
    - 车辆位置（GPS）
    - 乘员数量（OMS检测）
    - 碰撞类型（前/侧/后/翻滚）
    - 电池状态（EV）
    """
    
    def generate_crash_report(self, crash_data: dict) -> dict:
        """
        生成碰撞报告
        
        Args:
            crash_data: {
                "location": (lat, lon),
                "impact_type": "frontal" | "side" | "rear" | "rollover",
                "occupant_count": int,
                "battery_status": "normal" | "damaged" | "thermal_runaway_risk",
                "fuel_type": "ice" | "ev" | "hybrid"
            }
        
        Returns:
            eCall标准格式数据
        """
        import time
        
        report = {
            "timestamp": time.time(),
            "vehicle_id": crash_data.get("vin"),
            "location": {
                "latitude": crash_data["location"][0],
                "longitude": crash_data["location"][1],
            },
            "crash_info": {
                "type": crash_data["impact_type"],
                "severity": self._calculate_severity(crash_data),
            },
            "occupants": {
                "count": crash_data["occupant_count"],
                "seatbelts": crash_data.get("seatbelt_status", []),
            },
            "vehicle": {
                "fuel_type": crash_data["fuel_type"],
                "battery_status": crash_data.get("battery_status", "normal"),
            },
        }
        
        return report
    
    def _calculate_severity(self, crash_data: dict) -> str:
        """计算碰撞严重程度"""
        # 基于碰撞类型、速度变化、乘员状态等
        return "high"  # low/medium/high

六、对IMS开发的启示

6.1 技术路线优先级

优先级 功能模块 技术要求 开发周期
P0 疲劳/分心检测 PERCLOS+眼动追踪+头部姿态 6个月
P0 安全带检测 YOLOv11+张力传感器 3个月
P1 酒驾检测 行为分析+多传感器融合 12个月
P1 无响应干预 DMS+ADAS联动 9个月
P2 OOP检测 3D姿态估计+深度估计 12个月
P2 自适应约束 乘员分类+约束控制 6个月

6.2 测试数据需求

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
# Euro NCAP 2026 数据采集要求
DATA_REQUIREMENTS = {
    "training_data": {
        "fatigue": "≥10,000小时真实驾驶数据",
        "distraction": "≥50,000个分心样本（各场景）",
        "impairment": "≥5,000个行为异常样本",
        "seatbelt_misuse": "≥20,000张标注图像",
    },
    "validation_data": {
        "real_world_km": "≥100,000km真实道路测试",
        "scenarios": "≥1,200个测试场景覆盖",
        "occlusion": "墨镜/口罩/帽子各≥5,000样本",
    },
    "hardware": {
        "camera": "RGB-IR双模，≥25fps",
        "radar": "60GHz UWB（CPD）",
        "processor": "≥15 TOPS NPU",
    },
}

6.3 算法架构建议

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
class EuroNCAP2026DMS:
    """
    Euro NCAP 2026合规DMS系统架构
    """
    
    def __init__(self):
        # 核心模块
        self.eye_tracker = EyeTracker()  # 眼动追踪
        self.head_pose_estimator = HeadPoseEstimator()  # 头部姿态
        self.fatigue_detector = FatigueDetector()  # 疲劳检测
        self.distraction_detector = DistractionDetector()  # 分心检测
        self.impairment_detector = ImpairmentDetector()  # 酒驾检测
        self.seatbelt_monitor = SeatbeltMonitor()  # 安全带监控
        
        # ADAS联动
        self.adas_interface = ADASInterface()
        
        # 状态管理
        self.driver_state = DriverStateManager()
    
    def process_frame(self, frame: np.ndarray, vehicle_data: dict) -> dict:
        """
        处理单帧数据
        
        Args:
            frame: 舱内摄像头图像
            vehicle_data: 车辆CAN数据
        
        Returns:
            {
                "fatigue_level": 0-100,
                "distraction_type": str,
                "impairment_risk": float,
                "warning_level": 0-2,
                "adas_adjustment": dict
            }
        """
        # 1. 眼动追踪
        eye_result = self.eye_tracker.detect(frame)
        
        # 2. 头部姿态
        head_result = self.head_pose_estimator.estimate(frame)
        
        # 3. 疲劳检测（PERCLOS）
        fatigue_level = self.fatigue_detector.calculate_perclos(
            eye_result["openness"],
            window_sec=60
        )
        
        # 4. 分心检测
        distraction_result = self.distraction_detector.detect(
            eye_result,
            head_result,
            vehicle_data
        )
        
        # 5. 酒驾检测（行为分析）
        impairment_risk = self.impairment_detector.analyze(vehicle_data)
        
        # 6. 综合评估
        driver_state = self.driver_state.update({
            "fatigue": fatigue_level,
            "distraction": distraction_result,
            "impairment": impairment_risk,
        })
        
        # 7. ADAS联动
        adas_adjustment = self.adas_interface.adjust(driver_state)
        
        return {
            "fatigue_level": fatigue_level,
            "distraction_type": distraction_result["type"],
            "impairment_risk": impairment_risk,
            "warning_level": driver_state["warning_level"],
            "adas_adjustment": adas_adjustment,
        }

七、总结

Euro NCAP 2026协议的核心变化：

  1. DMS全面升级：疲劳/分心→增加酒驾检测+无响应干预
  2. 真实场景测试：实验室→真实道路+1200+场景
  3. 用户体验评估：误警告控制→用户接受度评分
  4. 多体型保护：标准假人→儿童/矮个/高个/老年
  5. EV专项要求：90分钟热失控防护+高级eCall

IMS开发建议：

  • 优先实现疲劳/分心检测+安全带监控（P0）
  • 积累真实道路数据，优化误报率
  • 准备酒驾检测和无响应干预的技术储备（P1）
  • 关注多体型乘员保护算法

参考文档

  1. Euro NCAP Official Press Release (2026-01-12): Euro NCAP announces 2026 protocol changes to tackle modern driving risks
  2. AB Dynamics Analysis: Euro NCAP 2026 protocols: What does it mean for ADAS testing and development?
  3. Euro NCAP Protocols: Official Protocol Documents
  4. AB Dynamics Special Groups Euro NCAP 2026: 1200+预配置测试场景

发布时间： 2026-06-22
标签： Euro NCAP, ADAS, DMS, 2026协议, 驾驶员监控
分类： 法规解读, Euro NCAP

法规解读 > Euro NCAP
#ADAS #DMS #Euro NCAP #驾驶员监控 #2026协议
Euro NCAP 2026 ADAS大修：分心检测与误警告的平衡艺术
https://dapalm.com/2026/06/22/2026-06-22-euro-ncap-2026-adas-overhaul/
作者
Mars
发布于
2026年6月22日
许可协议