JP2024546462A - 中心ベースの検出と追跡 - Google Patents
中心ベースの検出と追跡 Download PDFInfo
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- JP2024546462A JP2024546462A JP2024532274A JP2024532274A JP2024546462A JP 2024546462 A JP2024546462 A JP 2024546462A JP 2024532274 A JP2024532274 A JP 2024532274A JP 2024532274 A JP2024532274 A JP 2024532274A JP 2024546462 A JP2024546462 A JP 2024546462A
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- 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
- B60W60/00—Drive control systems specially adapted for autonomous road vehicles
- B60W60/001—Planning or execution of driving tasks
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06N3/0464—Convolutional networks [CNN, ConvNet]
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06N3/09—Supervised learning
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/70—Determining position or orientation of objects or cameras
- G06T7/73—Determining position or orientation of objects or cameras using feature-based methods
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06V10/74—Image or video pattern matching; Proximity measures in feature spaces
- G06V10/75—Organisation of the matching processes, e.g. simultaneous or sequential comparisons of image or video features; Coarse-fine approaches, e.g. multi-scale approaches; using context analysis; Selection of dictionaries
- G06V10/751—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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 OR CALCULATING; 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
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20081—Training; Learning
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/20—Special algorithmic details
- G06T2207/20084—Artificial neural networks [ANN]
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30248—Vehicle exterior or interior
- G06T2207/30252—Vehicle exterior; Vicinity of vehicle
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Multimedia (AREA)
- Computing Systems (AREA)
- Artificial Intelligence (AREA)
- General Health & Medical Sciences (AREA)
- Health & Medical Sciences (AREA)
- Medical Informatics (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Mathematical Physics (AREA)
- Databases & Information Systems (AREA)
- Biomedical Technology (AREA)
- Molecular Biology (AREA)
- Computational Linguistics (AREA)
- Biophysics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Automation & Control Theory (AREA)
- Mechanical Engineering (AREA)
- Transportation (AREA)
- Human Computer Interaction (AREA)
- Traffic Control Systems (AREA)
- Image Analysis (AREA)
- Control Of Driving Devices And Active Controlling Of Vehicle (AREA)
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US17/537,920 US12080074B2 (en) | 2021-11-30 | 2021-11-30 | Center-based detection and tracking |
| US17/537,920 | 2021-11-30 | ||
| PCT/US2022/080211 WO2023102327A1 (en) | 2021-11-30 | 2022-11-21 | Center-based detection and tracking |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| JP2024546462A true JP2024546462A (ja) | 2024-12-24 |
| JP2024546462A5 JP2024546462A5 (https=) | 2025-11-25 |
Family
ID=86500484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2024532274A Pending JP2024546462A (ja) | 2021-11-30 | 2022-11-21 | 中心ベースの検出と追跡 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US12080074B2 (https=) |
| EP (1) | EP4440898A4 (https=) |
| JP (1) | JP2024546462A (https=) |
| CN (1) | CN118354949A (https=) |
| WO (1) | WO2023102327A1 (https=) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11195418B1 (en) * | 2018-10-04 | 2021-12-07 | Zoox, Inc. | Trajectory prediction on top-down scenes and associated model |
| US12033346B2 (en) * | 2022-02-01 | 2024-07-09 | Zoox, Inc. | Distance representation and encoding |
| KR20230146878A (ko) * | 2022-04-13 | 2023-10-20 | 현대자동차주식회사 | 객체 검출 장치 및 방법 |
| CN116844241B (zh) * | 2023-08-30 | 2024-01-16 | 武汉大水云科技有限公司 | 基于着色的红外视频行为识别方法、系统和电子设备 |
Family Cites Families (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| KR101663574B1 (ko) | 2014-12-01 | 2016-10-07 | 계명대학교 산학협력단 | 야간 환경에서의 운전자 보조 시스템을 위한 위험 보행자 검출 방법 및 시스템 |
| US10733482B1 (en) * | 2017-03-08 | 2020-08-04 | Zoox, Inc. | Object height estimation from monocular images |
| WO2019136479A1 (en) * | 2018-01-08 | 2019-07-11 | The Regents On The University Of California | Surround vehicle tracking and motion prediction |
| US10997433B2 (en) * | 2018-02-27 | 2021-05-04 | Nvidia Corporation | Real-time detection of lanes and boundaries by autonomous vehicles |
| WO2019246250A1 (en) | 2018-06-20 | 2019-12-26 | Zoox, Inc. | Instance segmentation inferred from machine-learning model output |
| US11215997B2 (en) * | 2018-11-30 | 2022-01-04 | Zoox, Inc. | Probabilistic risk assessment for trajectory evaluation |
| AU2019200976A1 (en) * | 2019-02-12 | 2020-08-27 | Canon Kabushiki Kaisha | Method, system and apparatus for generating training samples for matching objects in a sequence of images |
| EP3703008A1 (en) * | 2019-02-26 | 2020-09-02 | Zenuity AB | Object detection and 3d box fitting |
| US11634162B2 (en) * | 2019-08-16 | 2023-04-25 | Uatc, Llc. | Full uncertainty for motion planning in autonomous vehicles |
| US11624835B2 (en) * | 2019-09-06 | 2023-04-11 | Ouster, Inc. | Processing of LIDAR images |
| US11288507B2 (en) | 2019-09-27 | 2022-03-29 | Sony Corporation | Object detection in image based on stochastic optimization |
| US11885907B2 (en) * | 2019-11-21 | 2024-01-30 | Nvidia Corporation | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications |
| US11967161B2 (en) * | 2020-06-26 | 2024-04-23 | Amazon Technologies, Inc. | Systems and methods of obstacle detection for automated delivery apparatus |
| US11527084B2 (en) * | 2020-07-10 | 2022-12-13 | Huawei Technologies Co., Ltd. | Method and system for generating a bird's eye view bounding box associated with an object |
| CN112949614B (zh) | 2021-04-29 | 2021-09-10 | 成都市威虎科技有限公司 | 一种自动分配候选区域的人脸检测方法及装置和电子设备 |
| US11989891B2 (en) * | 2021-08-06 | 2024-05-21 | Beijing Qingzhouzhihang Technology Co., LTD. | System and method for 3D multi-object tracking in LiDAR point clouds |
-
2021
- 2021-11-30 US US17/537,920 patent/US12080074B2/en active Active
-
2022
- 2022-11-21 WO PCT/US2022/080211 patent/WO2023102327A1/en not_active Ceased
- 2022-11-21 CN CN202280079083.0A patent/CN118354949A/zh active Pending
- 2022-11-21 EP EP22902315.5A patent/EP4440898A4/en active Pending
- 2022-11-21 JP JP2024532274A patent/JP2024546462A/ja active Pending
-
2024
- 2024-08-30 US US18/821,385 patent/US20250005935A1/en active Pending
Also Published As
| Publication number | Publication date |
|---|---|
| CN118354949A (zh) | 2024-07-16 |
| US20230169777A1 (en) | 2023-06-01 |
| US20250005935A1 (en) | 2025-01-02 |
| EP4440898A4 (en) | 2025-11-12 |
| US12080074B2 (en) | 2024-09-03 |
| WO2023102327A1 (en) | 2023-06-08 |
| EP4440898A1 (en) | 2024-10-09 |
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Legal Events
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|---|---|---|---|
| A521 | Request for written amendment filed |
Free format text: JAPANESE INTERMEDIATE CODE: A523 Effective date: 20251107 |
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