CN115151920A - 驾驶评估方法、装置及非暂态计算机可读存储介质 - Google Patents
驾驶评估方法、装置及非暂态计算机可读存储介质 Download PDFInfo
- Publication number
- CN115151920A CN115151920A CN202180005289.4A CN202180005289A CN115151920A CN 115151920 A CN115151920 A CN 115151920A CN 202180005289 A CN202180005289 A CN 202180005289A CN 115151920 A CN115151920 A CN 115151920A
- Authority
- CN
- China
- Prior art keywords
- driving
- performance
- events
- performance events
- driving evaluation
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000011156 evaluation Methods 0.000 title claims abstract description 60
- 238000000034 method Methods 0.000 claims abstract description 33
- 239000002131 composite material Substances 0.000 claims abstract description 17
- 206010039203 Road traffic accident Diseases 0.000 claims description 16
- 230000006399 behavior Effects 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 11
- 230000006870 function Effects 0.000 claims description 10
- 238000004364 calculation method Methods 0.000 claims description 8
- 238000010801 machine learning Methods 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 7
- 238000004422 calculation algorithm Methods 0.000 claims description 6
- 238000005265 energy consumption Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 5
- 101001038335 Homo sapiens Serine/threonine-protein kinase LMTK2 Proteins 0.000 description 2
- 102100040292 Serine/threonine-protein kinase LMTK2 Human genes 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000001514 detection method Methods 0.000 description 2
- 238000011161 development Methods 0.000 description 2
- 238000005516 engineering process Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 230000002787 reinforcement Effects 0.000 description 2
- 238000004088 simulation Methods 0.000 description 2
- 230000009897 systematic effect Effects 0.000 description 2
- 238000012360 testing method Methods 0.000 description 2
- 238000007792 addition Methods 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000011144 upstream manufacturing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/02—Registering or indicating driving, working, idle, or waiting time only
- G07C5/06—Registering or indicating driving, working, idle, or waiting time only in graphical form
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W40/00—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
- B60W40/08—Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to drivers or passengers
- B60W40/09—Driving style or behaviour
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/04—Inference or reasoning models
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2552/00—Input parameters relating to infrastructure
- B60W2552/53—Road markings, e.g. lane marker or crosswalk
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W2555/00—Input parameters relating to exterior conditions, not covered by groups B60W2552/00, B60W2554/00
- B60W2555/60—Traffic rules, e.g. speed limits or right of way
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
- B60W50/00—Details of control systems for road vehicle drive control not related to the control of a particular sub-unit, e.g. process diagnostic or vehicle driver interfaces
- B60W50/04—Monitoring the functioning of the control system
- B60W50/045—Monitoring control system parameters
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Mathematical Physics (AREA)
- Artificial Intelligence (AREA)
- Data Mining & Analysis (AREA)
- Evolutionary Computation (AREA)
- Computing Systems (AREA)
- General Engineering & Computer Science (AREA)
- Computational Linguistics (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Medical Informatics (AREA)
- Automation & Control Theory (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Traffic Control Systems (AREA)
Abstract
本申请提供了一种驾驶评估方法、装置和存储介质。该方法包括:在执行一个或多个驾驶任务期间收集性能事件集；基于所收集的性能事件集和包含在所收集的性能事件集中的性能事件的各个权重，计算综合性能指标。
Description
PCT国内申请，说明书已公开。
Claims (20)
- PCT国内申请，权利要求书已公开。
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US17/140,151 | 2021-01-04 | ||
| US17/140,151 US11978289B2 (en) | 2021-01-04 | 2021-01-04 | Method, apparatus and non-transitory computer readable storage medium for driving evaluation |
| PCT/CN2021/093383 WO2022142064A1 (zh) | 2021-01-04 | 2021-05-12 | 驾驶评估方法、装置及非暂态计算机可读存储介质 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN115151920A true CN115151920A (zh) | 2022-10-04 |
Family
ID=82218745
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202180005289.4A Pending CN115151920A (zh) | 2021-01-04 | 2021-05-12 | 驾驶评估方法、装置及非暂态计算机可读存储介质 |
Country Status (3)
| Country | Link |
|---|---|
| US (1) | US11978289B2 (zh) |
| CN (1) | CN115151920A (zh) |
| WO (1) | WO2022142064A1 (zh) |
Families Citing this family (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11978289B2 (en) * | 2021-01-04 | 2024-05-07 | Guangzhou Automobile Group Co., Ltd. | Method, apparatus and non-transitory computer readable storage medium for driving evaluation |
| JP2022138728A (ja) * | 2021-03-10 | 2022-09-26 | トヨタ自動車株式会社 | 運転診断装置及び運転診断方法 |
Family Cites Families (20)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| TR201200245T1 (tr) * | 2009-07-07 | 2012-06-21 | Tracktec Ltd | Sürücü profilleme. |
| US11625745B1 (en) * | 2012-12-31 | 2023-04-11 | Allstate Insurance Company | Vehicle telematics system to promote good driving behavior using positive feedback and award points |
| US9056616B1 (en) * | 2014-09-23 | 2015-06-16 | State Farm Mutual Automobile Insurance | Student driver feedback system allowing entry of tagged events by instructors during driving tests |
| US10915964B1 (en) * | 2015-03-03 | 2021-02-09 | Allstate Insurance Company | System and method for providing vehicle services based on driving behaviors |
| CN107038860B (zh) | 2016-11-18 | 2019-07-23 | 杭州好好开车科技有限公司 | 一种基于adas技术及回归模型的用户驾驶行为评分方法 |
| CN107180219A (zh) * | 2017-01-25 | 2017-09-19 | 问众智能信息科技（北京）有限公司 | 基于多模态信息的驾驶危险系数评估方法和装置 |
| EP3639253A4 (en) * | 2017-05-31 | 2020-06-03 | Beijing Didi Infinity Technology And Development Co., Ltd. | DEVICES AND METHODS FOR RECOGNIZING DRIVING BEHAVIOR BASED ON TRAVEL DATA |
| US10974728B2 (en) * | 2018-09-11 | 2021-04-13 | Lightmetrics Technologies Pvt. Ltd. | Methods and systems for facilitating drive related data for driver monitoring |
| US10703381B2 (en) * | 2018-11-28 | 2020-07-07 | International Business Machines Corporation | Intelligent vehicle action decisions |
| US11209279B2 (en) * | 2019-03-06 | 2021-12-28 | Lyft, Inc. | Systems and methods for autonomous vehicle performance evaluation |
| US20220126864A1 (en) * | 2019-03-29 | 2022-04-28 | Intel Corporation | Autonomous vehicle system |
| CN112115323A (zh) * | 2019-06-21 | 2020-12-22 | 上海博泰悦臻电子设备制造有限公司 | 驾驶行为的评分方法、云端服务器、车载端及系统 |
| US11077850B2 (en) * | 2019-09-06 | 2021-08-03 | Lyft, Inc. | Systems and methods for determining individualized driving behaviors of vehicles |
| US20210188304A1 (en) * | 2019-12-23 | 2021-06-24 | LinkeDrive, Inc. | Apparatus and method for providing real time hotspot driver coaching messages |
| CN111361568A (zh) * | 2020-03-10 | 2020-07-03 | 广州通达汽车电气股份有限公司 | 一种司机驾驶行为评估方法、装置、设备及存储介质 |
| US20210287262A1 (en) * | 2020-03-16 | 2021-09-16 | Lyft, Inc. | Aligning provider-device axes with transportation-vehicle axes to generate driving-event scores |
| US20200262423A1 (en) * | 2020-05-08 | 2020-08-20 | Intel Corporation | Systems, devices, and methods for risk-aware driving |
| CN112373481A (zh) * | 2020-11-04 | 2021-02-19 | 杭州创想智联科技有限公司 | 一种驾驶行为状态分析方法及装置 |
| US20220188667A1 (en) * | 2020-12-15 | 2022-06-16 | Woven Planet North America, Inc. | Vehicle prediction module evaluation and training |
| US11978289B2 (en) * | 2021-01-04 | 2024-05-07 | Guangzhou Automobile Group Co., Ltd. | Method, apparatus and non-transitory computer readable storage medium for driving evaluation |
-
2021
- 2021-01-04 US US17/140,151 patent/US11978289B2/en active Active
- 2021-05-12 CN CN202180005289.4A patent/CN115151920A/zh active Pending
- 2021-05-12 WO PCT/CN2021/093383 patent/WO2022142064A1/zh active Application Filing
Also Published As
| Publication number | Publication date |
|---|---|
| WO2022142064A1 (zh) | 2022-07-07 |
| US11978289B2 (en) | 2024-05-07 |
| US20220215700A1 (en) | 2022-07-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11513523B1 (en) | Automated vehicle artificial intelligence training based on simulations | |
| CN113642633B (zh) | 用于对驾驶场景数据进行分类的方法、装置、设备和介质 | |
| CN109782730B (zh) | 用于自主系统性能和评级的方法和装置 | |
| Mishra et al. | On theoretical and empirical aspects of marginal distribution choice models | |
| Zheng et al. | Shifted Gamma-Generalized Pareto Distribution model to map the safety continuum and estimate crashes | |
| CN115151920A (zh) | 驾驶评估方法、装置及非暂态计算机可读存储介质 | |
| CN110686906B (zh) | 车辆自动驾驶测试方法及装置 | |
| CN103544351A (zh) | 一种对仿真模型调整参数的方法及装置 | |
| Haq et al. | Many-objective reinforcement learning for online testing of dnn-enabled systems | |
| CN116108717B (zh) | 一种基于数字孪生的交通运输设备运行预测方法及装置 | |
| Groh et al. | Towards a scenario-based assessment method for highly automated driving functions | |
| CN109726764A (zh) | 一种模型选择方法、装置、设备和介质 | |
| CN109784586B (zh) | 车险的出险情况的预测方法及系统 | |
| King et al. | A taxonomy and survey on validation approaches for automated driving systems | |
| CN109791677A (zh) | 用于在社区中对交通工具数据进行地理参考和评分的系统和方法 | |
| Box et al. | An automated signalized junction controller that learns strategies from a human expert | |
| CN111862587A (zh) | 一种出行引导策略生成方法及装置 | |
| Wen et al. | Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data | |
| Winner | Challenges of automotive systems engineering for industry and academia | |
| Jayasinghe et al. | Calibration of SUMO microscopic simulator for Sri Lankan traffic conditions | |
| WO2015125467A1 (ja) | 旅行時間演算装置、交通情報データおよび交通情報データ生成装置 | |
| CN115841712A (zh) | 一种基于v2x技术的驾驶数据处理方法、装置及设备 | |
| CN111967774B (zh) | 软件质量风险预测方法及装置 | |
| RU2487387C1 (ru) | Способ моделирования процессов управления техническими средствами и система моделирования для его осуществления | |
| CN106909744A (zh) | 流程模型可信度动态评估方法和系统 |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination |