CN113614730B - 多帧语义信号的cnn分类 - Google Patents

多帧语义信号的cnn分类 Download PDF

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CN113614730B
CN113614730B CN201980087354.5A CN201980087354A CN113614730B CN 113614730 B CN113614730 B CN 113614730B CN 201980087354 A CN201980087354 A CN 201980087354A CN 113614730 B CN113614730 B CN 113614730B
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CN113614730A (zh
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E.马拉赫
Y.香比克
J.本托利拉
I.盖勒
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Mobileye Vision Technologies Ltd
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    • G06V20/584Recognition 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
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    • G06V30/274Syntactic or semantic context, e.g. balancing
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60RVEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR
    • B60R2300/00Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle
    • B60R2300/80Details of viewing arrangements using cameras and displays, specially adapted for use in a vehicle characterised by the intended use of the viewing arrangement
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US201862767785P 2018-11-15 2018-11-15
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PCT/IB2019/001293 WO2020099936A2 (en) 2018-11-15 2019-11-15 Fast cnn classification of multi-frame semantic signals

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Families Citing this family (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US11200468B2 (en) 2018-11-15 2021-12-14 Mobileye Vision Technologies Ltd. Fast CNN classification of multi-frame semantic signals
DE102019214999A1 (de) * 2019-09-30 2021-04-01 Robert Bosch Gmbh Verfahren zum Bereitstellen eines Unterstützungssignals und/oder eines Ansteuerungssignals für ein zumindest teilautomatisiertes Fahrzeug
US11195033B2 (en) * 2020-02-27 2021-12-07 Gm Cruise Holdings Llc Multi-modal, multi-technique vehicle signal detection
JP7115502B2 (ja) 2020-03-23 2022-08-09 トヨタ自動車株式会社 物体状態識別装置、物体状態識別方法及び物体状態識別用コンピュータプログラムならびに制御装置
JP7388971B2 (ja) * 2020-04-06 2023-11-29 トヨタ自動車株式会社 車両制御装置、車両制御方法及び車両制御用コンピュータプログラム
JP7359735B2 (ja) * 2020-04-06 2023-10-11 トヨタ自動車株式会社 物体状態識別装置、物体状態識別方法及び物体状態識別用コンピュータプログラムならびに制御装置
US11935309B2 (en) * 2020-08-25 2024-03-19 Ford Global Technologies, Llc Determining traffic light labels and classification quality from infrastructure signals
CN112084427A (zh) * 2020-09-15 2020-12-15 辽宁工程技术大学 一种基于图神经网络的兴趣点推荐方法
JP2023085060A (ja) * 2021-12-08 2023-06-20 トヨタ自動車株式会社 点灯状態識別装置、点灯状態識別方法及び点灯状態識別用コンピュータプログラム
US12112551B2 (en) * 2022-02-09 2024-10-08 Toyota Research Institute, Inc. Vehicles, systems and methods for automatically detecting a state of signal lights of a vehicle
TWI812291B (zh) * 2022-06-17 2023-08-11 緯創資通股份有限公司 連續學習的機器學習方法及電子裝置
US20240249533A1 (en) * 2023-01-19 2024-07-25 Arriver Software Ab Ai techniques for blinking light detection for vehicle applications
CN116279504B (zh) * 2023-03-29 2025-07-25 赛力斯汽车有限公司 基于ar的车辆速度辅助系统及其方法

Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108734979A (zh) * 2017-04-20 2018-11-02 通用汽车环球科技运作有限责任公司 交通信号灯检测系统及方法

Family Cites Families (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2006203832A (ja) * 2004-12-22 2006-08-03 Mitsubishi Electric Corp 画像送受信システム、画像送受信方法、並びに画像送信手順と画像受信表示手順を実行させるためのプログラムを記録したコンピュータ読み取り可能な記録媒体
KR101165359B1 (ko) * 2011-02-21 2012-07-12 (주)엔써즈 이미지와 이미지 또는 이미지와 동영상 사이의 상호 관계 분석 장치 및 방법
US8335350B2 (en) * 2011-02-24 2012-12-18 Eastman Kodak Company Extracting motion information from digital video sequences
US9632502B1 (en) * 2015-11-04 2017-04-25 Zoox, Inc. Machine-learning systems and techniques to optimize teleoperation and/or planner decisions
US10800455B2 (en) * 2015-12-17 2020-10-13 Ford Global Technologies, Llc Vehicle turn signal detection
KR102724665B1 (ko) * 2016-11-09 2024-10-31 삼성전자주식회사 보행자 및 차량의 탑승자에게 상대방의 접근을 알리는 방법 및 장치
JP6832164B2 (ja) * 2017-01-13 2021-02-24 本田技研工業株式会社 運転補助装置及び運転補助方法
JP6876269B2 (ja) * 2017-03-08 2021-05-26 スズキ株式会社 路面状態推定装置
US10884409B2 (en) * 2017-05-01 2021-01-05 Mentor Graphics (Deutschland) Gmbh Training of machine learning sensor data classification system
US10902616B2 (en) * 2018-08-13 2021-01-26 Nvidia Corporation Scene embedding for visual navigation
US11200468B2 (en) 2018-11-15 2021-12-14 Mobileye Vision Technologies Ltd. Fast CNN classification of multi-frame semantic signals

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108734979A (zh) * 2017-04-20 2018-11-02 通用汽车环球科技运作有限责任公司 交通信号灯检测系统及方法

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Learning to Tell Brake and Turn Signals in Videos Using CNN-LSTM Structure;Han-Kai Hsu等;《2017 IEEE 20th International Conference on Intelligent Transportation Systems》;20180315;第1-4页 *

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EP3881228A2 (en) 2021-09-22
JP2022509774A (ja) 2022-01-24
JP7258137B2 (ja) 2023-04-14
US20200160126A1 (en) 2020-05-21
CN113614730A (zh) 2021-11-05
WO2020099936A3 (en) 2020-06-25
WO2020099936A2 (en) 2020-05-22
KR102630320B1 (ko) 2024-01-30
US20220058453A1 (en) 2022-02-24
KR20210104712A (ko) 2021-08-25
US11200468B2 (en) 2021-12-14

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