DE102022000238A8 - Method for training and testing an algorithm for predicting agents in a vehicle environment - Google Patents

Method for training and testing an algorithm for predicting agents in a vehicle environment Download PDF

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Publication number
DE102022000238A8
DE102022000238A8 DE102022000238.8A DE102022000238A DE102022000238A8 DE 102022000238 A8 DE102022000238 A8 DE 102022000238A8 DE 102022000238 A DE102022000238 A DE 102022000238A DE 102022000238 A8 DE102022000238 A8 DE 102022000238A8
Authority
DE
Germany
Prior art keywords
predicting
training
algorithm
testing
agents
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
DE102022000238.8A
Other languages
German (de)
Other versions
DE102022000238A1 (en
Inventor
Julian Schmidt
Julian Wiederer
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Mercedes Benz Group AG
Original Assignee
Daimler AG
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Daimler AG filed Critical Daimler AG
Priority to DE102022000238.8A priority Critical patent/DE102022000238A1/en
Publication of DE102022000238A1 publication Critical patent/DE102022000238A1/en
Publication of DE102022000238A8 publication Critical patent/DE102022000238A8/en
Withdrawn legal-status Critical Current

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/19147—Obtaining sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • 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
    • G06N3/047—Probabilistic or stochastic 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Evolutionary Computation (AREA)
  • Health & Medical Sciences (AREA)
  • Software Systems (AREA)
  • Artificial Intelligence (AREA)
  • Computing Systems (AREA)
  • General Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Molecular Biology (AREA)
  • Computational Linguistics (AREA)
  • General Engineering & Computer Science (AREA)
  • Biophysics (AREA)
  • Mathematical Physics (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Probability & Statistics with Applications (AREA)
  • Databases & Information Systems (AREA)
  • Medical Informatics (AREA)
  • Traffic Control Systems (AREA)
DE102022000238.8A 2022-01-24 2022-01-24 Method for training and testing an algorithm for predicting agents in a vehicle environment Withdrawn DE102022000238A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
DE102022000238.8A DE102022000238A1 (en) 2022-01-24 2022-01-24 Method for training and testing an algorithm for predicting agents in a vehicle environment

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
DE102022000238.8A DE102022000238A1 (en) 2022-01-24 2022-01-24 Method for training and testing an algorithm for predicting agents in a vehicle environment

Publications (2)

Publication Number Publication Date
DE102022000238A1 DE102022000238A1 (en) 2022-03-10
DE102022000238A8 true DE102022000238A8 (en) 2022-05-12

Family

ID=80266966

Family Applications (1)

Application Number Title Priority Date Filing Date
DE102022000238.8A Withdrawn DE102022000238A1 (en) 2022-01-24 2022-01-24 Method for training and testing an algorithm for predicting agents in a vehicle environment

Country Status (1)

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DE (1) DE102022000238A1 (en)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE102022214233B3 (en) 2022-12-21 2024-02-08 Continental Automotive Technologies GmbH Determining the similarity of traffic scenes to improve machine learning systems or algorithms for trajectory prediction or maneuver planning for automated vehicles

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3663965A1 (en) 2018-12-05 2020-06-10 IMRA Europe S.A.S. Method for predicting multiple futures

Also Published As

Publication number Publication date
DE102022000238A1 (en) 2022-03-10

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Legal Events

Date Code Title Description
R230 Request for early publication
R083 Amendment of/additions to inventor(s)
R081 Change of applicant/patentee

Owner name: MERCEDES-BENZ GROUP AG, DE

Free format text: FORMER OWNER: DAIMLER AG, STUTTGART, DE

R119 Application deemed withdrawn, or ip right lapsed, due to non-payment of renewal fee