CN115053277A - 对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质 - Google Patents
对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质 Download PDFInfo
- Publication number
- CN115053277A CN115053277A CN202080093108.3A CN202080093108A CN115053277A CN 115053277 A CN115053277 A CN 115053277A CN 202080093108 A CN202080093108 A CN 202080093108A CN 115053277 A CN115053277 A CN 115053277A
- Authority
- CN
- China
- Prior art keywords
- classified
- moving object
- information
- lane
- boundary
- 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.)
- Granted
Links
- 230000008859 change Effects 0.000 title claims abstract description 163
- 238000000034 method Methods 0.000 title claims abstract description 54
- 238000010801 machine learning Methods 0.000 claims abstract description 62
- 230000008447 perception Effects 0.000 claims abstract description 42
- 230000004044 response Effects 0.000 claims abstract description 40
- 230000003993 interaction Effects 0.000 claims abstract description 30
- 238000013528 artificial neural network Methods 0.000 claims abstract description 26
- 230000002123 temporal effect Effects 0.000 claims abstract 3
- 239000013598 vector Substances 0.000 claims description 143
- 230000002452 interceptive effect Effects 0.000 claims description 69
- 238000000605 extraction Methods 0.000 claims description 16
- 239000000284 extract Substances 0.000 claims description 7
- 238000013507 mapping Methods 0.000 claims description 2
- 230000008569 process Effects 0.000 description 12
- 238000010586 diagram Methods 0.000 description 11
- 238000013527 convolutional neural network Methods 0.000 description 6
- 238000004422 calculation algorithm Methods 0.000 description 4
- 238000004364 calculation method Methods 0.000 description 4
- 238000007477 logistic regression Methods 0.000 description 4
- 238000007637 random forest analysis Methods 0.000 description 4
- 238000012706 support-vector machine Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- ORILYTVJVMAKLC-UHFFFAOYSA-N Adamantane Natural products C1C(C2)CC3CC1CC2C3 ORILYTVJVMAKLC-UHFFFAOYSA-N 0.000 description 2
- 238000004458 analytical method Methods 0.000 description 2
- 230000008030 elimination Effects 0.000 description 2
- 238000003379 elimination reaction Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000001360 synchronised effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/096—Arrangements for giving variable traffic instructions provided with indicators in which a mark progresses showing the time elapsed, e.g. of green phase
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Image Analysis (AREA)
- Traffic Control Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
一种对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质。根据对待分类移动物体的感知信息和地图信息来将待分类移动物体分类为变道移动物体或者无变道移动物体。方法包括:以时间序列获取与待分类移动物体相关的第一组信息帧,从第一组信息帧中提取对待分类移动物体的感知信息的一组特征(S22)。对该组特征进行机器学习分类,得到所述待分类移动物体的第一分类结果(S24)。响应于第一分类结果为变道移动物体,根据待分类移动物体与其他交通参与者的交互信息来绘制交互信息图(S26)。以及将交互信息图输入深度神经网络,得到第二分类结果(S28)。
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 (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
PCT/CN2020/100871 WO2022006777A1 (zh) | 2020-07-08 | 2020-07-08 | 对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN115053277A true CN115053277A (zh) | 2022-09-13 |
CN115053277B CN115053277B (zh) | 2024-04-16 |
Family
ID=79553606
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202080093108.3A Active CN115053277B (zh) | 2020-07-08 | 2020-07-08 | 对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质 |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN115053277B (zh) |
WO (1) | WO2022006777A1 (zh) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117076994A (zh) * | 2023-10-18 | 2023-11-17 | 清华大学深圳国际研究生院 | 一种多通道生理时间序列分类方法 |
Families Citing this family (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114523976B (zh) * | 2022-04-22 | 2022-10-21 | 北京宏景智驾科技有限公司 | 用于智能驾驶车辆的控制系统及方法 |
Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110562258A (zh) * | 2019-09-30 | 2019-12-13 | 驭势科技(北京)有限公司 | 一种车辆自动换道决策的方法、车载设备和存储介质 |
CN110796856A (zh) * | 2019-10-16 | 2020-02-14 | 腾讯科技(深圳)有限公司 | 车辆变道意图预测方法及变道意图预测网络的训练方法 |
CN111104969A (zh) * | 2019-12-04 | 2020-05-05 | 东北大学 | 一种无人驾驶车辆与周边车辆的碰撞可能性预判方法 |
US20200175691A1 (en) * | 2018-11-30 | 2020-06-04 | Baidu Usa Llc | Real time object behavior prediction |
CN111383464A (zh) * | 2018-12-28 | 2020-07-07 | 沈阳美行科技有限公司 | 车辆变道识别方法、装置、电子设备和介质 |
Family Cites Families (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20180349526A1 (en) * | 2016-06-28 | 2018-12-06 | Cognata Ltd. | Method and system for creating and simulating a realistic 3d virtual world |
CN110843789B (zh) * | 2019-11-19 | 2021-07-06 | 苏州智加科技有限公司 | 一种基于时序卷积网络的车辆换道意图预测方法 |
CN111289266B (zh) * | 2020-03-27 | 2021-11-30 | 中国汽车工程研究院股份有限公司 | 一种车辆主动变道系统测试评价方法 |
-
2020
- 2020-07-08 CN CN202080093108.3A patent/CN115053277B/zh active Active
- 2020-07-08 WO PCT/CN2020/100871 patent/WO2022006777A1/zh active Application Filing
Patent Citations (5)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20200175691A1 (en) * | 2018-11-30 | 2020-06-04 | Baidu Usa Llc | Real time object behavior prediction |
CN111383464A (zh) * | 2018-12-28 | 2020-07-07 | 沈阳美行科技有限公司 | 车辆变道识别方法、装置、电子设备和介质 |
CN110562258A (zh) * | 2019-09-30 | 2019-12-13 | 驭势科技(北京)有限公司 | 一种车辆自动换道决策的方法、车载设备和存储介质 |
CN110796856A (zh) * | 2019-10-16 | 2020-02-14 | 腾讯科技(深圳)有限公司 | 车辆变道意图预测方法及变道意图预测网络的训练方法 |
CN111104969A (zh) * | 2019-12-04 | 2020-05-05 | 东北大学 | 一种无人驾驶车辆与周边车辆的碰撞可能性预判方法 |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN117076994A (zh) * | 2023-10-18 | 2023-11-17 | 清华大学深圳国际研究生院 | 一种多通道生理时间序列分类方法 |
CN117076994B (zh) * | 2023-10-18 | 2024-01-26 | 清华大学深圳国际研究生院 | 一种多通道生理时间序列分类方法 |
Also Published As
Publication number | Publication date |
---|---|
WO2022006777A1 (zh) | 2022-01-13 |
CN115053277B (zh) | 2024-04-16 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
RU2701051C2 (ru) | Способ, система и машиночитаемые запоминающие носители для выявления объектов с использованием рекуррентной нейронной сети и сцепленной карты признаков | |
Caltagirone et al. | LIDAR-based driving path generation using fully convolutional neural networks | |
CN108082037B (zh) | 制动灯检测 | |
CN106980813B (zh) | 机器学习的注视生成 | |
WO2021134441A1 (zh) | 基于自动驾驶的车辆速度控制方法、装置和计算机设备 | |
CN113221677B (zh) | 一种轨迹异常检测方法、装置、路侧设备和云控平台 | |
CN109919074B (zh) | 一种基于视觉感知技术的车辆感知方法及装置 | |
US11481913B2 (en) | LiDAR point selection using image segmentation | |
JP2022505759A (ja) | 運転者支援システムを試験するための方法及び装置 | |
Niranjan et al. | Deep learning based object detection model for autonomous driving research using carla simulator | |
US20220156483A1 (en) | Efficient three-dimensional object detection from point clouds | |
Mandal et al. | Lyft 3D object detection for autonomous vehicles | |
CN115053277B (zh) | 对周围移动物体进行变道分类的方法、系统、计算机设备及存储介质 | |
CN112348848A (zh) | 一种交通参与者的信息生成方法及系统 | |
Padmaja et al. | A novel design of autonomous cars using IoT and visual features | |
CN113383283A (zh) | 感知信息处理方法、装置、计算机设备和存储介质 | |
CN114998856B (zh) | 一种多相机图像的3d目标检测方法、装置、设备及介质 | |
Curiel-Ramirez et al. | Towards of a modular framework for semi-autonomous driving assistance systems | |
Thakurdesai et al. | Computer vision based position and speed estimation for accident avoidance in driverless cars | |
Al Mamun et al. | Efficient lane marking detection using deep learning technique with differential and cross-entropy loss. | |
CN112133128A (zh) | 弯道防撞预警方法、装置、计算机设备和存储介质 | |
JP6449699B2 (ja) | 環境認識システム | |
US20240062386A1 (en) | High throughput point cloud processing | |
US20220309799A1 (en) | Method for Automatically Executing a Vehicle Function, Method for Evaluating a Computer Vision Method and Evaluation Circuit for a Vehicle | |
US11869250B2 (en) | Systems and methods for detecting traffic objects |
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 | ||
GR01 | Patent grant | ||
GR01 | Patent grant |