SG11202112081PA - Method, data processing apparatus and computer program product for determining road intersections - Google Patents
Method, data processing apparatus and computer program product for determining road intersectionsInfo
- Publication number
- SG11202112081PA SG11202112081PA SG11202112081PA SG11202112081PA SG11202112081PA SG 11202112081P A SG11202112081P A SG 11202112081PA SG 11202112081P A SG11202112081P A SG 11202112081PA SG 11202112081P A SG11202112081P A SG 11202112081PA SG 11202112081P A SG11202112081P A SG 11202112081PA
- Authority
- SG
- Singapore
- Prior art keywords
- processing apparatus
- computer program
- data processing
- program product
- determining road
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N5/00—Computing arrangements using knowledge-based models
- G06N5/02—Knowledge representation; Symbolic representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/241—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches
- G06F18/2413—Classification techniques relating to the classification model, e.g. parametric or non-parametric approaches based on distances to training or reference patterns
- G06F18/24133—Distances to prototypes
- G06F18/24137—Distances to cluster centroïds
-
- 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
- G06N3/04—Architecture, e.g. interconnection topology
- G06N3/048—Activation functions
-
- 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
- G06V20/50—Context or environment of the image
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
-
- 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
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/582—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of traffic signs
-
- 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
- G06V20/56—Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
- G06V20/58—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
- G06V20/584—Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads of vehicle lights or traffic lights
-
- 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
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/SG2019/050507 WO2021071422A1 (en) | 2019-10-10 | 2019-10-10 | Method, data processing apparatus and computer program product for determining road intersections |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| SG11202112081PA true SG11202112081PA (en) | 2021-11-29 |
Family
ID=75436771
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| SG11202112081PA SG11202112081PA (en) | 2019-10-10 | 2019-10-10 | Method, data processing apparatus and computer program product for determining road intersections |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US11663499B2 (en) |
| CN (1) | CN113841152B (en) |
| SG (1) | SG11202112081PA (en) |
| TW (1) | TW202131221A (en) |
| WO (1) | WO2021071422A1 (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20220180183A1 (en) * | 2020-12-09 | 2022-06-09 | Here Global B.V. | Method, apparatus, and system for providing place category prediction |
| TWI807561B (en) * | 2021-12-28 | 2023-07-01 | 國立陽明交通大學 | Embedded deep learning multi-scale object detection model using real-time distant region locating device and method thereof |
| CN116189115A (en) * | 2023-04-24 | 2023-05-30 | 青岛创新奇智科技集团股份有限公司 | Vehicle type recognition method, electronic device and readable storage medium |
Family Cites Families (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9152882B2 (en) * | 2011-06-17 | 2015-10-06 | Microsoft Technology Licensing, Llc. | Location-aided recognition |
| CN105355042B (en) | 2015-10-23 | 2017-09-19 | 东南大学 | A kind of road network extraction method based on taxi GPS |
| CN105788273B (en) | 2016-05-18 | 2018-03-27 | 武汉大学 | The method of urban intersection automatic identification based on low precision space-time trajectory data |
| CN106547880B (en) * | 2016-10-26 | 2020-05-12 | 重庆邮电大学 | Multi-dimensional geographic scene identification method fusing geographic area knowledge |
| US11004202B2 (en) * | 2017-10-09 | 2021-05-11 | The Board Of Trustees Of The Leland Stanford Junior University | Systems and methods for semantic segmentation of 3D point clouds |
| CN108877267B (en) * | 2018-08-06 | 2020-11-03 | 武汉理工大学 | Intersection detection method based on vehicle-mounted monocular camera |
| CN109815993B (en) * | 2019-01-03 | 2023-05-23 | 西北大学 | GPS track-based regional feature extraction, database establishment and intersection identification method |
| CN109993134A (en) * | 2019-04-04 | 2019-07-09 | 中山大学 | A kind of intersection vehicle checking method based on HOG and SVM classifier |
| CN110175574A (en) * | 2019-05-28 | 2019-08-27 | 中国人民解放军战略支援部队信息工程大学 | A kind of Road network extraction method and device |
-
2019
- 2019-10-10 SG SG11202112081PA patent/SG11202112081PA/en unknown
- 2019-10-10 US US17/611,097 patent/US11663499B2/en active Active
- 2019-10-10 WO PCT/SG2019/050507 patent/WO2021071422A1/en active Application Filing
- 2019-10-10 CN CN201980096507.2A patent/CN113841152B/en active Active
-
2020
- 2020-08-26 TW TW109129210A patent/TW202131221A/en unknown
Also Published As
| Publication number | Publication date |
|---|---|
| CN113841152B (en) | 2022-11-15 |
| WO2021071422A1 (en) | 2021-04-15 |
| US11663499B2 (en) | 2023-05-30 |
| CN113841152A (en) | 2021-12-24 |
| TW202131221A (en) | 2021-08-16 |
| US20220230450A1 (en) | 2022-07-21 |
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