| 1 |
- {"sceneNumber": "共测试7个用例", "testMileageSum": "4.85公里", "testDurationSum": "4分35秒", "algorithmComprehensiveScore": 64.24, "algorithmLevel": "一般", "details": {"efficient": {"name": "高效性", "weight": "20.0%", "score": 100.0, "level": "优秀", "scoreList": [100, 100, 100, 100, 100, 100, 100], "levelDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "details": {"efficientDrive": {"name": "行驶", "score": 100.0, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"averageSpeed": {"name": "平均速度", "average": 63.43, "max": 65.78, "min": 65.78, "number": 0, "range": "[24, inf)"}}, "builtin": {"averageSpeed": {"name": "平均速度", "data": [63.83, 62.42, 63.26, 63.13, 63.18, 62.42, 65.78], "markLine": ["24"]}}, "custom": {}, "description1": "平均速度指标表现良好，平均值在合理范围内且不存在不合格用例；。"}, "efficientStop": {"name": "停车", "score": 100.0, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"stopDuration": {"name": "停车平均时长", "average": 0.0, "max": 0.0, "min": 0.0, "number": 0, "range": "[0, 5]"}, "stopCount": {"name": "停车次数", "average": 0.0, "max": 0.0, "min": 0.0, "number": 0, "range": "[0, 1]"}}, "builtin": {"stopDuration": {"name": "停车平均时长", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "markLine": ["5"]}, "stopCount": {"name": "停车次数", "data": [0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0], "markLine": ["1"]}}, "custom": {}, "description1": "停车平均时长和停车次数指标表现良好，平均值在合理范围内且不存在不合格用例；。"}}, "description1": "车辆行驶效率高；", "description2": "算法在高效性维度上的表现满足设计指标要求。"}, "compliance": {"name": "合规性", "weight": "20.0%", "score": 100.0, "level": "优秀", "scoreList": [100, 100, 100, 100, 100, 100, 100], "levelDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "details": {"deduct3": {"name": "中等违规（扣3分）", "score": 100.0, "level": "优秀", "indexes": {"pressSolidLine": {"name": "压实线", "times": 0}}}, "deduct6": {"name": "危险违规（扣6分）", "score": 100.0, "level": "优秀", "indexes": {"runRedLight": {"name": "闯红灯", "times": 0}, "overspeed20_50": {"name": "超速20%-50%", "times": 0}}}, "deduct12": {"name": "重大违规（扣12分）", "score": 100.0, "level": "优秀", "indexes": {"overspeed50": {"name": "超速50%以上", "times": 0}}}, "deduct1": {"name": "轻微违规（扣1分）", "score": 100.0, "level": "优秀", "indexes": {"overspeed10": {"name": "超速，但未超过10%", "times": 0}, "overspeed10_20": {"name": "超速10%-20%", "times": 0}}}}, "description1": "车辆在本轮测试中无违反交通法规行为；", "description2": "共有7个用例，其中0个用例出现违规行为。"}, "function": {"name": "功能性", "weight": "20.0%", "noObjectCar": false, "score": 37.63, "level": "较差", "scoreList": [34.64, 38.73, 36.51, 37.9, 40.92], "levelDistribution": {"优秀": 0, "良好": 0, "一般": 0, "较差": 100}, "details": {"functionACC": {"name": "ACC", "score": 29.76, "level": "较差", "gradeDistribution": {"优秀": 0, "良好": 0, "一般": 0, "较差": 100}, "indexes": {"followSpeedDeviation": {"name": "跟车速度偏差", "average": 67.69, "max": 69.73, "min": 69.73, "range": "[0, 2]"}, "followDistanceDeviation": {"name": "跟车距离偏差", "average": 2.27, "max": 2.94, "min": 2.94, "range": "[0, 3]"}, "followStopDistance": {"name": "跟停最短距离", "average": "-", "max": "-", "min": "-", "range": "[4, inf)"}, "followResponseTime": {"name": "跟车启动响应时间", "average": "-", "max": "-", "min": "-", "range": "[0, 1.2]"}}, "builtin": {"followSpeedDeviation": {"name": "跟车速度偏差", "data": [69.73, 61.63, 69.7, 69.7], "markLine": ["2"]}, "followDistanceDeviation": {"name": "跟车距离偏差", "data": [2.1, 2.94, 2.94, 1.09], "markLine": ["3"]}, "followStopDistance": {"name": "跟停最短距离", "data": [], "markLine": ["4"]}, "followResponseTime": {"name": "跟车启动响应时间", "data": [], "markLine": ["1.2"]}}, "custom": {}, "description1": "跟车距离偏差、跟停最短距离和跟车启动响应时间指标表现良好，平均值在合理范围内且不存在不合格用例；\n跟车速度偏差指标平均值在合理范围外，算法在大部分用例下均表现不佳，需重点优化。", "description2": "经计算可知，跟车速度偏差指标位于合理区间的占比为0.0%，跟车距离偏差指标位于合理区间的占比为100.0%，跟停最短距离指标位于合理区间的占比为100%，跟车启动响应时间指标位于合理区间的占比为100%。"}, "function_LKA": {"name": "function_LKA", "score": 60.78, "level": "一般", "gradeDistribution": {"优秀": 0, "良好": 0, "一般": 100, "较差": 0}, "indexes": {"cicv_LKA_01_distance_nearby_lane": {"name": "离近侧车道线最小距离", "average": 0.37, "max": 0.383, "min": 0.383, "range": "[0.1, inf)"}, "cicv_LKA_02_lateral_offset": {"name": "最大横向偏移量", "average": 0.1, "max": 0.177, "min": 0.177, "range": "[-1.0, 1.0]"}, "cicv_LKA_03_heading_deviation_max": {"name": "最大航向角偏差", "average": 0.01, "max": 0.01, "min": 0.01, "range": "[0, 0.175]"}, "cicv_LKA_04_relative_position_oscillation_frequency": {"name": "横向相对位置振荡频率", "average": 0.02, "max": 0.062, "min": 0.062, "range": "[0, 2.0]"}, "cicv_LKA_05_relative_position_oscillation_difference": {"name": "横向相对位置振荡极差", "average": 0.88, "max": 0.978, "min": 0.978, "range": "[0, 1.6]"}, "cicv_LKA_06_absolute_center_distance_expectation": {"name": "绝对横向偏移量分布期望", "average": 0.44, "max": 0.489, "min": 0.489, "range": "[0, 1.6]"}, "cicv_LKA_07_absolute_center_distance_standard_deviation": {"name": "绝对横向偏移量分布标准差", "average": 0.07, "max": 0.079, "min": 0.079, "range": "[0, 1.6]"}, "cicv_LKA_08_fixed_driving_direction_TLC": {"name": "固定行驶方向车辆跨道时间", "average": 2.22, "max": 2.727, "min": 2.727, "range": "[10.0, inf)"}, "cicv_LKA_09_fixed_steering_wheel_angle_TLC": {"name": "固定方向盘转角车辆跨道时间", "average": 999.0, "max": 999.0, "min": 999.0, "range": "[10.0, inf)"}, "cicv_LKA_10_maximum_lateral_deviation": {"name": "车道中心线横向距离极大值", "average": 0.49, "max": 0.541, "min": 0.541, "range": "[0, 1.5]"}, "cicv_LKA_11_minimum_lateral_deviation": {"name": "车道中心线横向距离极小值", "average": 0.38, "max": 0.437, "min": 0.437, "range": "[0, 1.5]"}}, "builtin": {}, "custom": {"cicv_LKA_01_distance_nearby_lane": {"name": "离近侧车道线最小距离", "data": [0.366, 0.358, 0.381, 0.383, 0.381], "markLine": [0.1]}, "cicv_LKA_02_lateral_offset": {"name": "最大横向偏移量", "data": [0.139, 0.177, 0.052, 0.052, 0.056], "markLine": [0.0001]}, "cicv_LKA_03_heading_deviation_max": {"name": "最大航向角偏差", "data": [0.01, 0.01, 0.01, 0.01, 0.009], "markLine": [0.175]}, "cicv_LKA_04_relative_position_oscillation_frequency": {"name": "横向相对位置振荡频率", "data": [0.06, 0.062, 0.0, 0.0, 0.0], "markLine": [2.0]}, "cicv_LKA_05_relative_position_oscillation_difference": {"name": "横向相对位置振荡极差", "data": [0.728, 0.733, 0.978, 0.975, 0.97], "markLine": [1.6]}, "cicv_LKA_06_absolute_center_distance_expectation": {"name": "绝对横向偏移量分布期望", "data": [0.348, 0.383, 0.489, 0.487, 0.485], "markLine": [1.6]}, "cicv_LKA_07_absolute_center_distance_standard_deviation": {"name": "绝对横向偏移量分布标准差", "data": [0.058, 0.063, 0.074, 0.073, 0.079], "markLine": [1.6]}, "cicv_LKA_08_fixed_driving_direction_TLC": {"name": "固定行驶方向车辆跨道时间", "data": [2.727, 2.31, 2.032, 1.998, 2.013], "markLine": [10.0]}, "cicv_LKA_09_fixed_steering_wheel_angle_TLC": {"name": "固定方向盘转角车辆跨道时间", "data": [999.0, 999.0, 999.0, 999.0, 999.0], "markLine": [10.0]}, "cicv_LKA_10_maximum_lateral_deviation": {"name": "车道中心线横向距离极大值", "data": [0.415, 0.423, 0.541, 0.539, 0.541], "markLine": [1.5]}, "cicv_LKA_11_minimum_lateral_deviation": {"name": "车道中心线横向距离极小值", "data": [0.313, 0.31, 0.437, 0.435, 0.429], "markLine": [1.5]}}, "description1": "离近侧车道线最小距离、最大横向偏移量、最大航向角偏差、横向相对位置振荡频率、横向相对位置振荡极差、绝对横向偏移量分布期望、绝对横向偏移量分布标准差、固定方向盘转角车辆跨道时间、车道中心线横向距离极大值和车道中心线横向距离极小值指标表现良好，平均值在合理范围内且不存在不合格用例；\n固定行驶方向车辆跨道时间指标平均值在合理范围外，算法在大部分用例下均表现不佳，需重点优化。", "description2": "经计算可知，离近侧车道线最小距离指标位于合理区间的占比为100.0%，最大横向偏移量指标位于合理区间的占比为100.0%，最大航向角偏差指标位于合理区间的占比为100.0%，横向相对位置振荡频率指标位于合理区间的占比为100.0%，横向相对位置振荡极差指标位于合理区间的占比为100.0%，绝对横向偏移量分布期望指标位于合理区间的占比为100.0%，绝对横向偏移量分布标准差指标位于合理区间的占比为100.0%，固定行驶方向车辆跨道时间指标位于合理区间的占比为0.0%，固定方向盘转角车辆跨道时间指标位于合理区间的占比为100.0%，车道中心线横向距离极大值指标位于合理区间的占比为100.0%，车道中心线横向距离极小值指标位于合理区间的占比为100.0%。"}, "function_ACC": {"name": "function_ACC", "score": 18.96, "level": "较差", "gradeDistribution": {"优秀": 0, "良好": 0, "一般": 0, "较差": 100}, "indexes": {"cicv_acc_01_delay_time_cruise": {"name": "定速巡航延迟时间", "average": 1.47, "max": 2.07, "min": 2.07, "range": "[0, 1.0]"}, "cicv_acc_02_rise_time_cruise": {"name": "定速巡航上升时间", "average": 5.03, "max": 9.82, "min": 9.82, "range": "[0, 1.0]"}, "cicv_acc_03_peak_time_cruise": {"name": "定速巡航峰值时间", "average": 0.02, "max": 0.05, "min": 0.05, "range": "[0, 1.0]"}, "cicv_acc_04_overshoot_cruise": {"name": "定速巡航超调量", "average": 80.73, "max": 100.0, "min": 100.0, "range": "[0, 1.0]"}, "cicv_acc_05_steady_error_cruise": {"name": "定速巡航速度稳态误差", "average": "-", "max": "-", "min": "-", "range": "[0, 1.0]"}}, "builtin": {}, "custom": {"cicv_acc_01_delay_time_cruise": {"name": "定速巡航延迟时间", "data": [2.07, 1.11, 1.54, 1.51, 1.11], "markLine": [1.0]}, "cicv_acc_02_rise_time_cruise": {"name": "定速巡航上升时间", "data": [3.05, 6.7, 2.79, 2.78, 9.82], "markLine": [1.0]}, "cicv_acc_03_peak_time_cruise": {"name": "定速巡航峰值时间", "data": [0.0, 0.05, 0.0, 0.0, 0.05], "markLine": [1.0]}, "cicv_acc_04_overshoot_cruise": {"name": "定速巡航超调量", "data": [100.0, 100.0, 100.0, 100.0, 3.65], "markLine": [1.0]}, "cicv_acc_05_steady_error_cruise": {"name": "定速巡航速度稳态误差", "data": [], "markLine": [1.0]}}, "description1": "定速巡航峰值时间和定速巡航速度稳态误差指标表现良好，平均值在合理范围内且不存在不合格用例；\n定速巡航延迟时间、定速巡航上升时间和定速巡航超调量指标平均值在合理范围外，算法在大部分用例下均表现不佳，需重点优化。", "description2": "经计算可知，定速巡航延迟时间指标位于合理区间的占比为0.0%，定速巡航上升时间指标位于合理区间的占比为0.0%，定速巡航峰值时间指标位于合理区间的占比为100.0%，定速巡航超调量指标位于合理区间的占比为0.0%，定速巡航速度稳态误差指标位于合理区间的占比为100%。"}}, "description1": "未满足设计指标要求。其中有5个用例得分低于60分，占比为100.00%，需优化算法在ACC、function_LKA和function_ACC上的表现；", "description2": "算法在ACC、function_LKA和function_ACC功能上需要重点优化。"}, "safe": {"name": "安全性", "weight": "20.0%", "noObjectCar": false, "score": 30.66, "level": "较差", "scoreList": [29.73, 30.29, 72.09, 75.77, 80, 80, 22.59], "levelDistribution": {"优秀": -1, "良好": 29, "一般": 29, "较差": 43}, "details": {"safeDistance": {"name": "距离类型", "score": 77.13, "level": "一般", "gradeDistribution": {"优秀": 28, "良好": 29, "一般": 43, "较差": 0}, "indexes": {"LonSD": {"name": "LonSD", "average": 31.49, "max": 40.0, "min": 40.0, "rate": "0.0%", "range": "[10, inf)"}, "LatSD": {"name": "LatSD", "average": 40.0, "max": 40.0, "min": 40.0, "rate": "0.0%", "range": "[2, inf)"}}, "builtin": {"LonSD": {"name": "LonSD", "data": [22.98, 40.0], "markLine": ["10"]}, "LatSD": {"name": "LatSD", "data": [40.0, 40.0, 40.0, 40.0, 40.0], "markLine": ["2"]}}, "custom": {}, "description1": "LonSD和LatSD指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，LonSD指标位于合理区间的占比为100.0%，LatSD指标位于合理区间的占比为100.0%。"}, "safeTime": {"name": "时间类型", "score": 53.48, "level": "较差", "gradeDistribution": {"优秀": -1, "良好": 29, "一般": 29, "较差": 43}, "indexes": {"TTC": {"name": "TTC", "average": 16.23, "max": 40.0, "min": 40.0, "rate": "60.0%", "range": "[2.86, inf)"}, "MTTC": {"name": "MTTC", "average": 1.2, "max": 1.2, "min": 1.2, "rate": "0.0%", "range": "[1.2, inf)"}, "THW": {"name": "THW", "average": 1.79, "max": 4.11, "min": 4.11, "rate": "40.0%", "range": "[0.4, inf)"}}, "builtin": {"TTC": {"name": "TTC", "data": [0.39, 0.44, 40.0, 40.0, 0.34], "markLine": ["2.86"]}, "MTTC": {"name": "MTTC", "data": [1.2, 1.2, 1.2, 1.2, 1.2], "markLine": ["1.2"]}, "THW": {"name": "THW", "data": [0.39, 0.44, 3.75, 4.11, 0.25], "markLine": ["0.4"]}}, "custom": {}, "description1": "MTTC指标表现良好，平均值在合理范围内且不存在不合格用例；\nTTC指标表现不佳，存在3个不合格用例，需要改进算法在这些用例中的表现；THW指标表现不佳，存在2个不合格用例，需要改进算法在这些用例中的表现；。", "description2": "经计算可知，TTC指标位于合理区间的占比为40.0%，MTTC指标位于合理区间的占比为100.0%，THW指标位于合理区间的占比为60.0%。"}, "safeProbability": {"name": "概率类型", "score": 59.27, "level": "较差", "gradeDistribution": {"优秀": 28, "良好": 29, "一般": 0, "较差": 43}, "indexes": {"collisionRisk": {"name": "碰撞风险概率", "average": 24.12, "max": 40.0, "min": 40.0, "rate": "60.0%", "range": "[0, 10]"}, "collisionSeverity": {"name": "碰撞严重程度", "average": 24.19, "max": 40.0, "min": 40.0, "rate": "60.0%", "range": "[0, 10]"}}, "builtin": {"collisionRisk": {"name": "碰撞风险概率", "data": [40.0, 40.0, 0.3, 0.3, 40.0], "markLine": ["10"]}, "collisionSeverity": {"name": "碰撞严重程度", "data": [40.0, 40.0, 0.48, 0.48, 40.0], "markLine": ["10"]}}, "custom": {}, "description1": "碰撞风险概率和碰撞严重程度指标平均值在合理范围外，算法在大部分用例下均表现不佳，需重点优化。", "description2": "经计算可知，碰撞风险概率指标位于合理区间的占比为40.0%，碰撞严重程度指标位于合理区间的占比为40.0%。"}, "safeAcceleration": {"name": "加速度类型", "score": 59.45, "level": "较差", "gradeDistribution": {"优秀": 0, "良好": 29, "一般": 14, "较差": 57}, "indexes": {"DRAC": {"name": "DRAC", "average": 8.0, "max": 10.0, "min": 10.0, "rate": "80.0%", "range": "[0, 5]"}, "BTN": {"name": "BTN", "average": 1.0, "max": 1.0, "min": 1.0, "rate": "0.0%", "range": "[0, 1]"}, "STN": {"name": "STN", "average": 1.0, "max": 1.0, "min": 1.0, "rate": "0.0%", "range": "[0, 1]"}}, "builtin": {"DRAC": {"name": "DRAC", "data": [10.0, 10.0, 10.0, 0.01, 10.0], "markLine": ["5"]}, "BTN": {"name": "BTN", "data": [1.0, 1.0, 1.0, 1.0, 1.0], "markLine": ["1"]}, "STN": {"name": "STN", "data": [1.0, 1.0, 1.0, 1.0, 1.0], "markLine": ["1"]}}, "custom": {}, "description1": "BTN和STN指标表现良好，平均值在合理范围内且不存在不合格用例；\nDRAC指标平均值在合理范围外，算法在大部分用例下均表现不佳，需重点优化。", "description2": "经计算可知，DRAC指标位于合理区间的占比为20.0%，BTN指标位于合理区间的占比为100.0%，STN指标位于合理区间的占比为100.0%。"}}, "description1": "未满足设计指标要求。其中有3个用例得分低于60分，占比为42.86%，需优化算法在距离类型、时间类型、概率类型和加速度类型上的表现；", "description2": "安全性在距离类型、时间类型、概率类型和加速度类型上存在严重风险，需要重点优化。"}, "comfort": {"name": "舒适性", "weight": "20.0%", "score": 57.35, "level": "较差", "scoreList": [47.53, 47.53, 67.89, 67.89, 67.89, 67.89, 67.89], "levelDistribution": {"优秀": 0, "良好": 0, "一般": 71, "较差": 29}, "details": {"comfortLat": {"name": "横向舒适性", "score": 83.62, "level": "良好", "gradeDistribution": {"优秀": 71, "良好": 0, "一般": 0, "较差": 29}, "indexes": {"zigzag": {"name": "画龙", "avgScore": 80.95, "maxScore": 100.0, "minScore": 33.33, "avgNumber": "0.29", "avgDuration": "337.50", "avgStrength": "0.00"}, "shake": {"name": "晃动", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}}, "builtin": {"zigzag": {"name": "画龙", "data": [33.33, 33.33, 100.0, 100.0, 100.0, 100.0, 100.0]}, "shake": {"name": "晃动", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]}}, "custom": {}, "description1": "画龙和晃动指标最低分超过设计指标要求，算法在7个用例中均表现良好；。", "description2": "经计算可知，算法在画龙指标上表现良好的概率为71.43%，在晃动指标上表现良好的概率为100.0%。"}, "comfortLon": {"name": "纵向舒适性", "score": 57.69, "level": "较差", "gradeDistribution": {"优秀": 0, "良好": 0, "一般": 0, "较差": 100}, "indexes": {"cadence": {"name": "顿挫", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}, "slamBrake": {"name": "急刹", "avgScore": 33.33, "maxScore": 33.33, "minScore": 33.33, "avgNumber": "1.00", "avgDuration": "17.04", "avgStrength": "0.02"}, "slamAccelerate": {"name": "急加速", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}}, "builtin": {"cadence": {"name": "顿挫", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]}, "slamBrake": {"name": "急刹", "data": [33.33, 33.33, 33.33, 33.33, 33.33, 33.33, 33.33]}, "slamAccelerate": {"name": "急加速", "data": [100.0, 100.0, 100.0, 100.0, 100.0, 100.0, 100.0]}}, "custom": {}, "description1": "顿挫和急加速指标最低分超过设计指标要求，算法在7个用例中均表现良好；\n急刹指标平均分超过设计指标要求，但是算法存在7个表现不佳用例，需要改进算法在这些用例中的表现；。", "description2": "经计算可知，算法在顿挫指标上表现良好的概率为100.0%，在急刹指标上表现良好的概率为0.0%，在急加速指标上表现良好的概率为100.0%。"}}, "description1": "未满足设计指标要求。其中有2个用例得分低于60分，占比为28.57%，需优化算法在画龙和急刹上的表现；", "description2": "算法在舒适性维度上的表现满足设计指标要求"}}, "algorithmResultDescription": "综上所述，建议算法优化在功能性、安全性和舒适性指标上的表现。"}
|
