SG11202009320PA - Maneuver recognition and driving maneuver analysis method and apparatus, and electronic device - Google Patents
Maneuver recognition and driving maneuver analysis method and apparatus, and electronic deviceInfo
- Publication number
- SG11202009320PA SG11202009320PA SG11202009320PA SG11202009320PA SG11202009320PA SG 11202009320P A SG11202009320P A SG 11202009320PA SG 11202009320P A SG11202009320P A SG 11202009320PA SG 11202009320P A SG11202009320P A SG 11202009320PA SG 11202009320P A SG11202009320P A SG 11202009320PA
- Authority
- SG
- Singapore
- Prior art keywords
- maneuver
- electronic device
- analysis method
- recognition
- driving
- Prior art date
Links
- 238000004458 analytical method Methods 0.000 title 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/20—Image preprocessing
- G06V10/25—Determination of region of interest [ROI] or a volume of interest [VOI]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60R—VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
- B60R21/00—Arrangements or fittings on vehicles for protecting or preventing injuries to occupants or pedestrians in case of accidents or other traffic risks
- B60R21/01—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents
- B60R21/015—Electrical circuits for triggering passive safety arrangements, e.g. airbags, safety belt tighteners, in case of vehicle accidents or impending vehicle accidents including means for detecting the presence or position of passengers, passenger seats or child seats, and the related safety parameters therefor, e.g. speed or timing of airbag inflation in relation to occupant position or seat belt use
- B60R21/01512—Passenger detection systems
- B60R21/01542—Passenger detection systems detecting passenger motion
-
- 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
-
- 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
- B60W50/08—Interaction between the driver and the control system
- B60W50/14—Means for informing the driver, warning the driver or prompting a driver intervention
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/045—Combinations of networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
- G06N3/084—Backpropagation, e.g. using gradient descent
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/40—Extraction of image or video features
- G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
- G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
- G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
- G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
- G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/764—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using classification, e.g. of video objects
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
- G06V10/776—Validation; Performance evaluation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V10/00—Arrangements for image or video recognition or understanding
- G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
- G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/40—Scenes; Scene-specific elements in video content
- G06V20/41—Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V20/00—Scenes; Scene-specific elements
- G06V20/50—Context or environment of the image
- G06V20/59—Context or environment of the image inside of a vehicle, e.g. relating to seat occupancy, driver state or inner lighting conditions
- G06V20/597—Recognising the driver's state or behaviour, e.g. attention or drowsiness
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/10—Human or animal bodies, e.g. vehicle occupants or pedestrians; Body parts, e.g. hands
- G06V40/16—Human faces, e.g. facial parts, sketches or expressions
- G06V40/168—Feature extraction; Face representation
- G06V40/171—Local features and components; Facial parts ; Occluding parts, e.g. glasses; Geometrical relationships
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
- G06V40/00—Recognition of biometric, human-related or animal-related patterns in image or video data
- G06V40/20—Movements or behaviour, e.g. gesture recognition
- G06V40/28—Recognition of hand or arm movements, e.g. recognition of deaf sign language
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
- H04N23/50—Constructional details
- H04N23/54—Mounting of pick-up tubes, electronic image sensors, deviation or focusing coils
-
- 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
- B60W2420/00—Indexing codes relating to the type of sensors based on the principle of their operation
- B60W2420/40—Photo or light sensitive means, e.g. infrared sensors
- B60W2420/403—Image sensing, e.g. optical camera
-
- 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
- B60W2540/00—Input parameters relating to occupants
- B60W2540/229—Attention level, e.g. attentive to driving, reading or sleeping
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201811130798.6A CN110956060A (en) | 2018-09-27 | 2018-09-27 | Motion recognition method, driving motion analysis method, device and electronic equipment |
PCT/CN2019/108167 WO2020063753A1 (en) | 2018-09-27 | 2019-09-26 | Maneuver recognition and driving maneuver analysis method and apparatus, and electronic device |
Publications (1)
Publication Number | Publication Date |
---|---|
SG11202009320PA true SG11202009320PA (en) | 2020-10-29 |
Family
ID=69951010
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
SG11202009320PA SG11202009320PA (en) | 2018-09-27 | 2019-09-26 | Maneuver recognition and driving maneuver analysis method and apparatus, and electronic device |
Country Status (6)
Country | Link |
---|---|
US (1) | US20210012127A1 (en) |
JP (1) | JP7061685B2 (en) |
KR (1) | KR102470680B1 (en) |
CN (1) | CN110956060A (en) |
SG (1) | SG11202009320PA (en) |
WO (1) | WO2020063753A1 (en) |
Families Citing this family (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110599503B (en) * | 2019-06-18 | 2021-05-28 | 腾讯科技(深圳)有限公司 | Detection model training method and device, computer equipment and storage medium |
US11222242B2 (en) * | 2019-08-23 | 2022-01-11 | International Business Machines Corporation | Contrastive explanations for images with monotonic attribute functions |
US10803334B1 (en) * | 2019-10-18 | 2020-10-13 | Alpine Electronics of Silicon Valley, Inc. | Detection of unsafe cabin conditions in autonomous vehicles |
KR102374211B1 (en) * | 2019-10-28 | 2022-03-15 | 주식회사 에스오에스랩 | Object recognition method and object recognition device performing the same |
US11043003B2 (en) * | 2019-11-18 | 2021-06-22 | Waymo Llc | Interacted object detection neural network |
CN112947740A (en) * | 2019-11-22 | 2021-06-11 | 深圳市超捷通讯有限公司 | Human-computer interaction method based on motion analysis and vehicle-mounted device |
CN111553282B (en) * | 2020-04-29 | 2024-03-29 | 北京百度网讯科技有限公司 | Method and device for detecting a vehicle |
CN111931640B (en) * | 2020-08-07 | 2022-06-10 | 上海商汤临港智能科技有限公司 | Abnormal sitting posture identification method and device, electronic equipment and storage medium |
CN112270210B (en) * | 2020-10-09 | 2024-03-01 | 珠海格力电器股份有限公司 | Data processing and operation instruction identification method, device, equipment and medium |
CN112257604A (en) * | 2020-10-23 | 2021-01-22 | 北京百度网讯科技有限公司 | Image detection method, image detection device, electronic equipment and storage medium |
CN112339764A (en) * | 2020-11-04 | 2021-02-09 | 杨华勇 | New energy automobile driving posture analysis system based on big data |
CN113011279A (en) * | 2021-02-26 | 2021-06-22 | 清华大学 | Method and device for recognizing mucosa contact action, computer equipment and storage medium |
CN117203678A (en) * | 2021-04-15 | 2023-12-08 | 华为技术有限公司 | Target detection method and device |
CN113205067B (en) * | 2021-05-26 | 2024-04-09 | 北京京东乾石科技有限公司 | Method and device for monitoring operators, electronic equipment and storage medium |
CN113205075A (en) * | 2021-05-31 | 2021-08-03 | 浙江大华技术股份有限公司 | Method and device for detecting smoking behavior and readable storage medium |
CN113362314B (en) * | 2021-06-18 | 2022-10-18 | 北京百度网讯科技有限公司 | Medical image recognition method, recognition model training method and device |
CN114670856B (en) * | 2022-03-30 | 2022-11-25 | 湖南大学无锡智能控制研究院 | Parameter self-tuning longitudinal control method and system based on BP neural network |
CN116901975B (en) * | 2023-09-12 | 2023-11-21 | 深圳市九洲卓能电气有限公司 | Vehicle-mounted AI security monitoring system and method thereof |
Family Cites Families (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US8447100B2 (en) * | 2007-10-10 | 2013-05-21 | Samsung Electronics Co., Ltd. | Detecting apparatus of human component and method thereof |
TWI474264B (en) | 2013-06-14 | 2015-02-21 | Utechzone Co Ltd | Warning method for driving vehicle and electronic apparatus for vehicle |
KR101386823B1 (en) * | 2013-10-29 | 2014-04-17 | 김재철 | 2 level drowsy driving prevention apparatus through motion, face, eye,and mouth recognition |
CN104573659B (en) * | 2015-01-09 | 2018-01-09 | 安徽清新互联信息科技有限公司 | A kind of driver based on svm takes phone-monitoring method |
CN105260705B (en) * | 2015-09-15 | 2019-07-05 | 西安邦威电子科技有限公司 | A kind of driver's making and receiving calls behavioral value method suitable under multi-pose |
CN105260703B (en) * | 2015-09-15 | 2019-07-05 | 西安邦威电子科技有限公司 | A kind of driver's smoking behavioral value method suitable under multi-pose |
JP6443393B2 (en) * | 2016-06-01 | 2018-12-26 | トヨタ自動車株式会社 | Action recognition device, learning device, method and program |
CN106096607A (en) * | 2016-06-12 | 2016-11-09 | 湘潭大学 | A kind of licence plate recognition method |
CN106504233B (en) * | 2016-10-18 | 2019-04-09 | 国网山东省电力公司电力科学研究院 | Unmanned plane inspection image electric power widget recognition methods and system based on Faster R-CNN |
CN106780612B (en) * | 2016-12-29 | 2019-09-17 | 浙江大华技术股份有限公司 | Object detecting method and device in a kind of image |
CN106815574B (en) * | 2017-01-20 | 2020-10-02 | 博康智能信息技术有限公司北京海淀分公司 | Method and device for establishing detection model and detecting behavior of connecting and calling mobile phone |
CN106941602B (en) * | 2017-03-07 | 2020-10-13 | 中国铁路总公司 | Locomotive driver behavior identification method and device |
CN107316001A (en) * | 2017-05-31 | 2017-11-03 | 天津大学 | Small and intensive method for traffic sign detection in a kind of automatic Pilot scene |
CN107316058A (en) * | 2017-06-15 | 2017-11-03 | 国家新闻出版广电总局广播科学研究院 | Improve the method for target detection performance by improving target classification and positional accuracy |
CN107563446B (en) * | 2017-09-05 | 2020-08-18 | 华中科技大学 | Target detection method for micro-operation system |
-
2018
- 2018-09-27 CN CN201811130798.6A patent/CN110956060A/en active Pending
-
2019
- 2019-09-26 WO PCT/CN2019/108167 patent/WO2020063753A1/en active Application Filing
- 2019-09-26 KR KR1020207027826A patent/KR102470680B1/en active IP Right Grant
- 2019-09-26 SG SG11202009320PA patent/SG11202009320PA/en unknown
- 2019-09-26 JP JP2020551540A patent/JP7061685B2/en active Active
-
2020
- 2020-09-21 US US17/026,933 patent/US20210012127A1/en not_active Abandoned
Also Published As
Publication number | Publication date |
---|---|
WO2020063753A1 (en) | 2020-04-02 |
KR20200124280A (en) | 2020-11-02 |
CN110956060A (en) | 2020-04-03 |
KR102470680B1 (en) | 2022-11-25 |
JP7061685B2 (en) | 2022-04-28 |
JP2021517312A (en) | 2021-07-15 |
US20210012127A1 (en) | 2021-01-14 |
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