CN112840284A - 基于数据流的自动驾驶方法、装置、电子设备及存储介质 - Google Patents
基于数据流的自动驾驶方法、装置、电子设备及存储介质 Download PDFInfo
- Publication number
- CN112840284A CN112840284A CN201980066986.3A CN201980066986A CN112840284A CN 112840284 A CN112840284 A CN 112840284A CN 201980066986 A CN201980066986 A CN 201980066986A CN 112840284 A CN112840284 A CN 112840284A
- Authority
- CN
- China
- Prior art keywords
- automatic driving
- neural network
- parameters
- data flow
- data
- 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
- 238000000034 method Methods 0.000 title claims abstract description 51
- 238000013528 artificial neural network Methods 0.000 claims abstract description 96
- 238000012545 processing Methods 0.000 claims abstract description 55
- 238000010586 diagram Methods 0.000 claims abstract description 35
- 230000015654 memory Effects 0.000 claims description 76
- 238000004590 computer program Methods 0.000 claims description 19
- 238000012805 post-processing Methods 0.000 claims description 7
- 238000001514 detection method Methods 0.000 abstract description 8
- 239000010410 layer Substances 0.000 description 51
- 230000001133 acceleration Effects 0.000 description 8
- 238000004422 calculation algorithm Methods 0.000 description 7
- 238000004364 calculation method Methods 0.000 description 7
- 230000006870 function Effects 0.000 description 5
- 210000002569 neuron Anatomy 0.000 description 4
- 238000012512 characterization method Methods 0.000 description 3
- 238000013527 convolutional neural network Methods 0.000 description 3
- 230000008878 coupling Effects 0.000 description 3
- 238000010168 coupling process Methods 0.000 description 3
- 238000005859 coupling reaction Methods 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 238000011176 pooling Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000003672 processing method Methods 0.000 description 3
- 241001465754 Metazoa Species 0.000 description 2
- 230000004913 activation Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 2
- 230000005540 biological transmission Effects 0.000 description 2
- 238000004891 communication Methods 0.000 description 2
- 238000013135 deep learning Methods 0.000 description 2
- 230000017525 heat dissipation Effects 0.000 description 2
- 230000008447 perception Effects 0.000 description 2
- 230000011218 segmentation Effects 0.000 description 2
- 230000006978 adaptation Effects 0.000 description 1
- 238000013459 approach Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013529 biological neural network Methods 0.000 description 1
- 210000004556 brain Anatomy 0.000 description 1
- 210000003169 central nervous system Anatomy 0.000 description 1
- 238000005094 computer simulation Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000000605 extraction Methods 0.000 description 1
- 238000003709 image segmentation Methods 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000013507 mapping Methods 0.000 description 1
- 238000013178 mathematical model Methods 0.000 description 1
- 230000005055 memory storage Effects 0.000 description 1
- 238000003058 natural language processing Methods 0.000 description 1
- 230000001537 neural effect Effects 0.000 description 1
- 238000011897 real-time detection Methods 0.000 description 1
- 239000002356 single layer Substances 0.000 description 1
- 238000000638 solvent extraction Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012549 training Methods 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
- G05D1/00—Control of position, course, altitude or attitude of land, water, air or space vehicles, e.g. using automatic pilots
- G05D1/02—Control of position or course in two dimensions
Landscapes
- Engineering & Computer Science (AREA)
- Aviation & Aerospace Engineering (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Image Analysis (AREA)
Abstract
一种基于数据流的自动驾驶方法、装置、电子设备及存储介质，所述方法包括：获取自动驾驶模型的神经网络图以及参数，所述参数为预先训练的参数(201)；根据所述自动驾驶模型的神经网络图以及参数，在数据流架构上配置得到所述自动驾驶模型对应的数据流自动驾驶模型(202)；获取用于自动驾驶的图像信息(203)；将所述图像信息输入到所述数据流自动驾驶模型中进行处理，得到图像处理结果(204)；将所述图像处理结果发送到驾驶决策模块中，形成驾驶决策(205)。所述方法可以加速自动驾驶中对图像的识别与检测速度，从而提高自动驾驶的实时性，另外，数据流自动驾驶模型对硬件要求不高，从而可以降低自动驾驶的成本以及功耗。
Description
PCT国内申请，说明书已公开。
Claims (10)
- 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/CN2019/100382 WO2021026768A1 (zh) | 2019-08-13 | 2019-08-13 | 基于数据流的自动驾驶方法、装置、电子设备及存储介质 |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112840284A true CN112840284A (zh) | 2021-05-25 |
Family
ID=74570847
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201980066986.3A Pending CN112840284A (zh) | 2019-08-13 | 2019-08-13 | 基于数据流的自动驾驶方法、装置、电子设备及存储介质 |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN112840284A (zh) |
| WO (1) | WO2021026768A1 (zh) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126481A (zh) * | 2016-06-29 | 2016-11-16 | 华为技术有限公司 | 一种计算引擎和电子设备 |
| CN107392189A (zh) * | 2017-09-05 | 2017-11-24 | 百度在线网络技术（北京）有限公司 | 用于确定无人车的驾驶行为的方法和装置 |
| CN108012156A (zh) * | 2017-11-17 | 2018-05-08 | 深圳市华尊科技股份有限公司 | 一种视频处理方法及控制平台 |
| CN108520296A (zh) * | 2018-03-20 | 2018-09-11 | 福州瑞芯微电子股份有限公司 | 一种基于深度学习芯片动态cache分配的方法和装置 |
| CN109583462A (zh) * | 2017-09-28 | 2019-04-05 | 幻视互动（北京）科技有限公司 | 基于深度神经网络的数据流处理方法、装置及*** |
| CN109901574A (zh) * | 2019-01-28 | 2019-06-18 | 华为技术有限公司 | 自动驾驶方法及装置 |
| CN110046704A (zh) * | 2019-04-09 | 2019-07-23 | 深圳鲲云信息科技有限公司 | 基于数据流的深度网络加速方法、装置、设备及存储介质 |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10007269B1 (en) * | 2017-06-23 | 2018-06-26 | Uber Technologies, Inc. | Collision-avoidance system for autonomous-capable vehicle |
| CN108021395B (zh) * | 2017-12-27 | 2022-04-29 | 北京金山安全软件有限公司 | 一种面向神经网络的数据并行处理方法及*** |
| CN108803604A (zh) * | 2018-06-06 | 2018-11-13 | 深圳市易成自动驾驶技术有限公司 | 车辆自动驾驶方法、装置以及计算机可读存储介质 |
-
2019
- 2019-08-13 WO PCT/CN2019/100382 patent/WO2021026768A1/zh active Application Filing
- 2019-08-13 CN CN201980066986.3A patent/CN112840284A/zh active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106126481A (zh) * | 2016-06-29 | 2016-11-16 | 华为技术有限公司 | 一种计算引擎和电子设备 |
| CN107392189A (zh) * | 2017-09-05 | 2017-11-24 | 百度在线网络技术（北京）有限公司 | 用于确定无人车的驾驶行为的方法和装置 |
| CN109583462A (zh) * | 2017-09-28 | 2019-04-05 | 幻视互动（北京）科技有限公司 | 基于深度神经网络的数据流处理方法、装置及*** |
| CN108012156A (zh) * | 2017-11-17 | 2018-05-08 | 深圳市华尊科技股份有限公司 | 一种视频处理方法及控制平台 |
| CN108520296A (zh) * | 2018-03-20 | 2018-09-11 | 福州瑞芯微电子股份有限公司 | 一种基于深度学习芯片动态cache分配的方法和装置 |
| CN109901574A (zh) * | 2019-01-28 | 2019-06-18 | 华为技术有限公司 | 自动驾驶方法及装置 |
| CN110046704A (zh) * | 2019-04-09 | 2019-07-23 | 深圳鲲云信息科技有限公司 | 基于数据流的深度网络加速方法、装置、设备及存储介质 |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021026768A1 (zh) | 2021-02-18 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3289529B1 (en) | Reducing image resolution in deep convolutional networks | |
| CN111797893B (zh) | 一种神经网络的训练方法、图像分类***及相关设备 | |
| US20220092351A1 (en) | Image classification method, neural network training method, and apparatus | |
| CN110084281B (zh) | 图像生成方法、神经网络的压缩方法及相关装置、设备 | |
| KR102595399B1 (ko) | 미지의 클래스들의 검출 및 미지의 클래스들에 대한 분류기들의 초기화 | |
| KR102591961B1 (ko) | 모델 트레이닝 방법 및 장치, 및 이를 위한 단말 및 저장 매체 | |
| CN107430705B (zh) | 用于重新训练分类器的样本选择 | |
| US9906704B2 (en) | Managing crowd sourced photography in a wireless network | |
| KR20170140214A (ko) | 신경망을 위한 훈련 기준으로서의 필터 특이성 | |
| US11423323B2 (en) | Generating a sparse feature vector for classification | |
| US20170091619A1 (en) | Selective backpropagation | |
| CN113330450A (zh) | 用于识别图像中的对象的方法 | |
| CN110222718B (zh) | 图像处理的方法及装置 | |
| US12039769B2 (en) | Identifying a type of object in a digital image based on overlapping areas of sub-images | |
| CN111738403B (zh) | 一种神经网络的优化方法及相关设备 | |
| US20220012502A1 (en) | Activity detection device, activity detection system, and activity detection method | |
| US11568543B2 (en) | Attention masks in neural network video processing | |
| CN112418327A (zh) | 图像分类模型的训练方法、装置、电子设备以及存储介质 | |
| CN109977875A (zh) | 基于深度学习的手势识别方法及设备 | |
| CN111126501B (zh) | 一种图像识别方法、终端设备及存储介质 | |
| CN112840284A (zh) | 基于数据流的自动驾驶方法、装置、电子设备及存储介质 | |
| CN112419249B (zh) | 一种特殊服饰图片转化方法、终端设备及存储介质 | |
| Kang et al. | Inception network-based weather image classification with pre-filtering process | |
| CN114365155A (zh) | 具有快速逐点卷积的高效推断 | |
| US20240233325A9 (en) | Method for classifying images and electronic device |
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 |