Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data

to connected objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

ISSN: 2194-6639

Extent: Online-Ressource

Language: Englisch

Notes: Kiel, Christian-Albrechts-Universität zu Kiel, Dissertation, 2024

Bibliographic citation: Kiel Computer Science Series ; 2024/2 (2024)

Keyword: Maschinelles Lernen
Objekterkennung
Autonomes Fahrzeug
Fahrerassistenzsystem
Deep Learning
Merkmalsextraktion

Event: Veröffentlichung

(where): Kiel

(who): Universitätsbibliothek Kiel

(when): 2024

Creator: Hagn, Korbinian

Contributor: Koch, Reinhard
Gottschalk, Hanno

URN: urn:nbn:de:gbv:8:3-2024-00079-0

Rights: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:58 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Hagn, Korbinian
Koch, Reinhard
Gottschalk, Hanno
Universitätsbibliothek Kiel

Time of origin

2024

Other Objects (12)

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Training and Validation of Visual Perception Functions for Autonomous Driving with Synthetic Data

Object Details

References and Relationships

Classification and Topics

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Visual Perception for Autonomous Driving

Synthetic Data for Perception in Autonomous Driving

COMAP: A SYNTHETIC DATASET FOR COLLECTIVE MULTI-AGENT PERCEPTION OF AUTONOMOUS DRIVING

Comap: A synthetic dataset for collective multi-agent perception of autonomous driving

Visual Perception with Synthetic Data

Deep Learning for Visual Scene Understanding in Autonomous Driving

Perception and Prediction of Urban Traffic Scenarios for Autonomous Driving

Conditional Privacy : Users' Perception of Data Privacy in Autonomous Driving

Synthetic Generation of Radar Sensor Data for Virtual Validation of Autonomous Driving

Attribute annotation and bias evaluation in visual datasets for autonomous driving

Special issue autonomous driving

Security in autonomous driving

Related objects

Reset password