JP7662628B2 - オブジェクトの検出及び追跡 - Google Patents
オブジェクトの検出及び追跡 Download PDFInfo
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- JP7662628B2 JP7662628B2 JP2022524078A JP2022524078A JP7662628B2 JP 7662628 B2 JP7662628 B2 JP 7662628B2 JP 2022524078 A JP2022524078 A JP 2022524078A JP 2022524078 A JP2022524078 A JP 2022524078A JP 7662628 B2 JP7662628 B2 JP 7662628B2
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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
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- Engineering & Computer Science (AREA)
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Applications Claiming Priority (5)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US201962926423P | 2019-10-26 | 2019-10-26 | |
| US62/926,423 | 2019-10-26 | ||
| US16/779,576 | 2020-01-31 | ||
| US16/779,576 US12012127B2 (en) | 2019-10-26 | 2020-01-31 | Top-down view object detection and tracking |
| PCT/US2020/057233 WO2021081459A1 (en) | 2019-10-26 | 2020-10-23 | Object detection and tracking |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2022554184A JP2022554184A (ja) | 2022-12-28 |
| JP2022554184A5 JP2022554184A5 (https=) | 2023-08-30 |
| JP7662628B2 true JP7662628B2 (ja) | 2025-04-15 |
Family
ID=75619374
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022524078A Active JP7662628B2 (ja) | 2019-10-26 | 2020-10-23 | オブジェクトの検出及び追跡 |
Country Status (5)
| Country | Link |
|---|---|
| US (1) | US12012127B2 (https=) |
| EP (1) | EP4048568A4 (https=) |
| JP (1) | JP7662628B2 (https=) |
| CN (1) | CN114901534A (https=) |
| WO (1) | WO2021081459A1 (https=) |
Families Citing this family (57)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10564641B2 (en) | 2018-07-20 | 2020-02-18 | May Mobility, Inc. | Multi-perspective system and method for behavioral policy selection by an autonomous agent |
| US10614709B2 (en) | 2018-07-24 | 2020-04-07 | May Mobility, Inc. | Systems and methods for implementing multimodal safety operations with an autonomous agent |
| US10969470B2 (en) | 2019-02-15 | 2021-04-06 | May Mobility, Inc. | Systems and methods for intelligently calibrating infrastructure devices using onboard sensors of an autonomous agent |
| WO2021016596A1 (en) | 2019-07-25 | 2021-01-28 | Nvidia Corporation | Deep neural network for segmentation of road scenes and animate object instances for autonomous driving applications |
| US11912271B2 (en) * | 2019-11-07 | 2024-02-27 | Motional Ad Llc | Trajectory prediction from precomputed or dynamically generated bank of trajectories |
| KR102732491B1 (ko) * | 2019-11-12 | 2024-11-21 | 현대자동차주식회사 | 근거리 컷인 타겟 판단 장치 및 그의 판단 방법 |
| US11532168B2 (en) * | 2019-11-15 | 2022-12-20 | Nvidia Corporation | Multi-view deep neural network for LiDAR perception |
| US12080078B2 (en) | 2019-11-15 | 2024-09-03 | Nvidia Corporation | Multi-view deep neural network for LiDAR perception |
| US11885907B2 (en) | 2019-11-21 | 2024-01-30 | Nvidia Corporation | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications |
| US12050285B2 (en) | 2019-11-21 | 2024-07-30 | Nvidia Corporation | Deep neural network for detecting obstacle instances using radar sensors in autonomous machine applications |
| US11663726B2 (en) * | 2020-01-31 | 2023-05-30 | Zoox, Inc. | Object velocity and/or yaw rate detection and tracking |
| US11983891B2 (en) * | 2020-02-25 | 2024-05-14 | Nippon Telegraph And Telephone Corporation | Moving target tracking device, moving target tracking method, moving target tracking system, learning device, and program |
| US11580723B2 (en) * | 2020-02-28 | 2023-02-14 | Invision Ai Inc. | Scene-aware object detection |
| EP3904907A1 (en) * | 2020-04-29 | 2021-11-03 | Aptiv Technologies Limited | Methods and systems for tracking an object |
| US11823458B2 (en) * | 2020-06-18 | 2023-11-21 | Embedtek, LLC | Object detection and tracking system |
| WO2022006418A1 (en) | 2020-07-01 | 2022-01-06 | May Mobility, Inc. | Method and system for dynamically curating autonomous vehicle policies |
| WO2022014327A1 (ja) * | 2020-07-14 | 2022-01-20 | ソニーセミコンダクタソリューションズ株式会社 | 情報処理装置、情報処理方法、およびプログラム |
| US11487047B2 (en) * | 2020-07-15 | 2022-11-01 | International Business Machines Corporation | Forecasting environmental occlusion events |
| KR20220056922A (ko) * | 2020-10-28 | 2022-05-09 | 현대자동차주식회사 | 자율주행 제어 장치 및 방법 |
| EP4260009A4 (en) | 2020-12-14 | 2024-11-20 | May Mobility, Inc. | AUTONOMOUS VEHICLE SAFETY PLATFORM SYSTEM AND METHOD |
| EP4264181A4 (en) | 2020-12-17 | 2024-10-30 | May Mobility, Inc. | METHOD AND SYSTEM FOR DYNAMIC UPDATING AN ENVIRONMENTAL REPRESENTATION OF AN AUTONOMOUS AGENT |
| US11858514B2 (en) | 2021-03-30 | 2024-01-02 | Zoox, Inc. | Top-down scene discrimination |
| US11810225B2 (en) * | 2021-03-30 | 2023-11-07 | Zoox, Inc. | Top-down scene generation |
| EP4314708A4 (en) | 2021-04-02 | 2024-12-25 | May Mobility, Inc. | METHOD AND SYSTEM FOR OPERATING AN AUTONOMOUS AGENT WITH INCOMPLETE ENVIRONMENTAL INFORMATION |
| US12046013B2 (en) | 2021-05-26 | 2024-07-23 | Ford Global Technologies Llc | Using relevance of objects to assess performance of an autonomous vehicle perception system |
| US20220382284A1 (en) * | 2021-05-26 | 2022-12-01 | Argo AI, LLC | Perception system for assessing relevance of objects in an environment of an autonomous vehicle |
| WO2022256249A1 (en) | 2021-06-02 | 2022-12-08 | May Mobility, Inc. | Method and system for remote assistance of an autonomous agent |
| CN115790619A (zh) * | 2021-09-10 | 2023-03-14 | 罗伯特·博世有限公司 | 用于基于传感器可视性处理对象检测结果的处理系统、单元和方法 |
| US11972614B2 (en) * | 2021-11-09 | 2024-04-30 | Zoox, Inc. | Machine-learned architecture for efficient object attribute and/or intention classification |
| WO2023102098A1 (en) | 2021-12-01 | 2023-06-08 | May Mobility, Inc. | Method and system for impact-based operation of an autonomous agent |
| US12296849B2 (en) | 2021-12-02 | 2025-05-13 | May Mobility, Inc. | Method and system for feasibility-based operation of an autonomous agent |
| US12154346B2 (en) * | 2021-12-17 | 2024-11-26 | Gm Cruise Holdings Llc | Estimating object uncertainty using a pre-non-maximum suppression ensemble |
| CN114359231B (zh) * | 2022-01-06 | 2024-08-06 | 腾讯科技(深圳)有限公司 | 一种停车位的检测方法、装置、设备及存储介质 |
| DE102022200139A1 (de) * | 2022-01-10 | 2023-07-13 | Robert Bosch Gesellschaft mit beschränkter Haftung | Verfahren zur Optimierung der Umfeldwahrnehmung für ein Fahrunterstützungssystem mittels zusätzlicher Referenzsensorik |
| CN114119970B (zh) * | 2022-01-29 | 2022-05-03 | 中科视语(北京)科技有限公司 | 目标跟踪方法及装置 |
| JP7851524B2 (ja) | 2022-02-14 | 2026-04-27 | メイ モビリティー,インコーポレイテッド | 自律エージェントの条件付き動作のための方法及びシステム |
| CN114187533B (zh) * | 2022-02-15 | 2022-05-03 | 西南交通大学 | 一种基于随机森林时序分类的GB-InSAR大气改正方法 |
| US20230281824A1 (en) * | 2022-03-07 | 2023-09-07 | Waymo Llc | Generating panoptic segmentation labels |
| US12481695B2 (en) * | 2022-04-12 | 2025-11-25 | Dell Products L.P. | Artificial intelligence-based techniques for automated visual data searching using edge devices |
| CN114972805A (zh) * | 2022-05-07 | 2022-08-30 | 杭州像素元科技有限公司 | 一种基于无锚的联合检测和嵌入的多目标跟踪方法 |
| US20230373092A1 (en) * | 2022-05-23 | 2023-11-23 | Infineon Technologies Ag | Detection and Tracking of Humans using Sensor Fusion to Optimize Human to Robot Collaboration in Industry |
| US12578469B1 (en) * | 2022-06-30 | 2026-03-17 | Zoox, Inc. | Dynamic object auto-labeling |
| US20240017745A1 (en) * | 2022-07-14 | 2024-01-18 | Nvidia Corporation | Trajectory generation |
| US12253607B1 (en) | 2022-08-31 | 2025-03-18 | Zoox, Inc. | Mirror object detection based on clustering of sensor data |
| JP7849255B2 (ja) * | 2022-09-07 | 2026-04-21 | 株式会社Soken | 追跡装置 |
| US12240497B1 (en) | 2022-09-21 | 2025-03-04 | Zoox, Inc. | Determining intention of bicycles and other person-wide vehicles |
| CN115598729A (zh) * | 2022-11-09 | 2023-01-13 | 北京有竹居网络技术有限公司(Cn) | 在物理环境中检测对象的方法、装置、设备和存储介质 |
| JP2026500243A (ja) | 2022-12-13 | 2026-01-06 | メイ モビリティー,インコーポレイテッド | 自律車両が遭遇し得るリスクを評価し軽減するための方法およびシステム |
| US20240265298A1 (en) * | 2023-02-07 | 2024-08-08 | Motional Ad Llc | Conflict analysis between occupancy grids and semantic segmentation maps |
| US12223677B1 (en) * | 2023-07-18 | 2025-02-11 | Aurora Operations, Inc. | Map-anchored object detection |
| KR102925170B1 (ko) * | 2023-09-13 | 2026-02-06 | 주식회사 신세계아이앤씨 | 라이다 센서와 카메라를 이용한 객체 추적 방법 및 그 장치 |
| WO2025090200A1 (en) * | 2023-10-24 | 2025-05-01 | Qualcomm Incorporated | Dynamic occupancy grid architecture |
| US12600385B1 (en) * | 2023-10-31 | 2026-04-14 | Zoox, Inc. | Machine-learned model architecture for occluded object spawning, track generation, and/or trajectory prediction |
| US12559138B2 (en) * | 2023-11-21 | 2026-02-24 | Zoox, Inc. | Machine-learned model architecture for diverse object path prediction |
| US12515698B2 (en) | 2023-11-28 | 2026-01-06 | Zoox, Inc. | Refinement training for machine-learned vehicle control model |
| US12535780B1 (en) * | 2024-01-25 | 2026-01-27 | Zoox, Inc. | Efficient relative position-aware attention for transformer-based machine-learned models |
| CN120294733B (zh) * | 2025-06-11 | 2025-08-08 | 长沙莫之比智能科技有限公司 | 基于cfar和孤立森林融合的雷达一维距离像多目标检测方法 |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016024534A (ja) | 2014-07-17 | 2016-02-08 | 日本電気株式会社 | 移動体追跡装置及び移動体追跡方法、並びにコンピュータ・プログラム |
| WO2017057061A1 (ja) | 2015-09-30 | 2017-04-06 | ソニー株式会社 | 情報処理装置、情報処理方法、及び、プログラム |
| US20180293445A1 (en) | 2017-04-06 | 2018-10-11 | GM Global Technology Operations LLC | Object tracking |
| JP2019109691A (ja) | 2017-12-18 | 2019-07-04 | 日立オートモティブシステムズ株式会社 | 移動体挙動予測装置および移動体挙動予測方法 |
Family Cites Families (41)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| EP2921362B1 (en) | 2014-03-18 | 2020-08-12 | Volvo Car Corporation | Vehicle, vehicle system and method for increasing safety and/or comfort during autonomous driving |
| US10229329B2 (en) | 2016-11-08 | 2019-03-12 | Dedrone Holdings, Inc. | Systems, methods, apparatuses, and devices for identifying, tracking, and managing unmanned aerial vehicles |
| US20190174207A1 (en) * | 2016-05-09 | 2019-06-06 | StrongForce IoT Portfolio 2016, LLC | Methods and systems for the industrial internet of things |
| JP6663822B2 (ja) * | 2016-08-08 | 2020-03-13 | 日立オートモティブシステムズ株式会社 | 自動運転装置 |
| US10611379B2 (en) * | 2016-08-16 | 2020-04-07 | Toyota Jidosha Kabushiki Kaisha | Integrative cognition of driver behavior |
| EP3285230B1 (en) | 2016-08-19 | 2021-04-07 | Veoneer Sweden AB | Enhanced object detection and motion estimation for a vehicle environment detection system |
| US10220857B2 (en) | 2017-02-23 | 2019-03-05 | Uber Technologies, Inc. | Vehicle control system |
| US11410673B2 (en) | 2017-05-03 | 2022-08-09 | Soltare Inc. | Audio processing for vehicle sensory systems |
| US10395144B2 (en) | 2017-07-24 | 2019-08-27 | GM Global Technology Operations LLC | Deeply integrated fusion architecture for automated driving systems |
| US10657811B2 (en) | 2017-10-04 | 2020-05-19 | Toyota Motor Engineering & Manufacturing North America, Inc. | Travel lane identification without road curvature data |
| US10503172B2 (en) | 2017-10-18 | 2019-12-10 | Luminar Technologies, Inc. | Controlling an autonomous vehicle based on independent driving decisions |
| US11475351B2 (en) * | 2017-11-15 | 2022-10-18 | Uatc, Llc | Systems and methods for object detection, tracking, and motion prediction |
| US10836379B2 (en) * | 2018-03-23 | 2020-11-17 | Sf Motors, Inc. | Multi-network-based path generation for vehicle parking |
| US10414395B1 (en) | 2018-04-06 | 2019-09-17 | Zoox, Inc. | Feature-based prediction |
| US20190310651A1 (en) | 2018-04-10 | 2019-10-10 | Uber Technologies, Inc. | Object Detection and Determination of Motion Information Using Curve-Fitting in Autonomous Vehicle Applications |
| US10909377B2 (en) | 2018-04-18 | 2021-02-02 | Baidu Usa Llc | Tracking objects with multiple cues |
| US10649459B2 (en) | 2018-04-26 | 2020-05-12 | Zoox, Inc. | Data segmentation using masks |
| US11138745B2 (en) * | 2018-04-30 | 2021-10-05 | Uatc, Llc | Object association for autonomous vehicles |
| US10726567B2 (en) | 2018-05-03 | 2020-07-28 | Zoox, Inc. | Associating LIDAR data and image data |
| US11164016B2 (en) | 2018-05-17 | 2021-11-02 | Uatc, Llc | Object detection and property determination for autonomous vehicles |
| US10691130B2 (en) | 2018-06-06 | 2020-06-23 | Uatc, Llc | Gridlock solver for motion planning system of an autonomous vehicle |
| US10817740B2 (en) | 2018-06-20 | 2020-10-27 | Zoox, Inc. | Instance segmentation inferred from machine learning model output |
| US10936922B2 (en) | 2018-06-20 | 2021-03-02 | Zoox, Inc. | Machine learning techniques |
| US11514293B2 (en) | 2018-09-11 | 2022-11-29 | Nvidia Corporation | Future object trajectory predictions for autonomous machine applications |
| US11217012B2 (en) * | 2018-11-16 | 2022-01-04 | Uatc, Llc | System and method for identifying travel way features for autonomous vehicle motion control |
| US10814870B2 (en) * | 2018-12-04 | 2020-10-27 | GM Global Technology Operations LLC | Multi-headed recurrent neural network (RNN) for multi-class trajectory predictions |
| US11630197B2 (en) | 2019-01-04 | 2023-04-18 | Qualcomm Incorporated | Determining a motion state of a target object |
| CN109740742A (zh) * | 2019-01-14 | 2019-05-10 | 哈尔滨工程大学 | 一种基于lstm神经网络的目标跟踪方法 |
| US10919543B2 (en) * | 2019-01-30 | 2021-02-16 | StradVision, Inc. | Learning method and learning device for determining whether to switch mode of vehicle from manual driving mode to autonomous driving mode by performing trajectory-based behavior analysis on recent driving route |
| US10482584B1 (en) * | 2019-01-31 | 2019-11-19 | StradVision, Inc. | Learning method and learning device for removing jittering on video acquired through shaking camera by using a plurality of neural networks for fault tolerance and fluctuation robustness in extreme situations, and testing method and testing device using the same |
| US10825188B1 (en) * | 2019-03-08 | 2020-11-03 | Zoox, Inc. | Detector-tracker architecture |
| US11062454B1 (en) | 2019-04-16 | 2021-07-13 | Zoox, Inc. | Multi-modal sensor data association architecture |
| US11231481B1 (en) | 2019-05-08 | 2022-01-25 | Zoox, Inc. | Radar false negative analysis |
| US11275173B2 (en) | 2019-05-20 | 2022-03-15 | Zoox, Inc. | Yaw rate from radar data |
| JP7181997B2 (ja) * | 2019-05-23 | 2022-12-01 | 日立Astemo株式会社 | 車両制御システム及び車両制御方法 |
| US11500385B2 (en) * | 2019-09-30 | 2022-11-15 | Zoox, Inc. | Collision avoidance perception system |
| US11726492B2 (en) * | 2019-10-02 | 2023-08-15 | Zoox, Inc. | Collision avoidance perception system |
| US11994866B2 (en) | 2019-10-02 | 2024-05-28 | Zoox, Inc. | Collision avoidance perception system |
| US11614742B2 (en) | 2019-11-27 | 2023-03-28 | Zoox, Inc. | Height estimation using sensor data |
| US11663726B2 (en) * | 2020-01-31 | 2023-05-30 | Zoox, Inc. | Object velocity and/or yaw rate detection and tracking |
| US11570638B2 (en) * | 2020-06-26 | 2023-01-31 | Intel Corporation | Automated network control systems that adapt network configurations based on the local network environment |
-
2020
- 2020-01-31 US US16/779,576 patent/US12012127B2/en active Active
- 2020-10-23 WO PCT/US2020/057233 patent/WO2021081459A1/en not_active Ceased
- 2020-10-23 JP JP2022524078A patent/JP7662628B2/ja active Active
- 2020-10-23 EP EP20879561.7A patent/EP4048568A4/en active Pending
- 2020-10-23 CN CN202080089895.4A patent/CN114901534A/zh active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2016024534A (ja) | 2014-07-17 | 2016-02-08 | 日本電気株式会社 | 移動体追跡装置及び移動体追跡方法、並びにコンピュータ・プログラム |
| WO2017057061A1 (ja) | 2015-09-30 | 2017-04-06 | ソニー株式会社 | 情報処理装置、情報処理方法、及び、プログラム |
| US20180293445A1 (en) | 2017-04-06 | 2018-10-11 | GM Global Technology Operations LLC | Object tracking |
| JP2019109691A (ja) | 2017-12-18 | 2019-07-04 | 日立オートモティブシステムズ株式会社 | 移動体挙動予測装置および移動体挙動予測方法 |
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