Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine

ISSN Print: 2160-0473
ISSN Online: 2160-0481
www.scirp.net/journal/jtts
E-mail: [email protected]

Citations

"Methodical Approach to the Development of a Radar Sensor Model for the Detection of Urban Traffic Participants Using a Virtual Reality Engine"
written by Rene Degen, Harry Ott, Fabian Overath, Christian Schyr, Mats Leijon, Margot Ruschitzka,
published by Journal of Transportation Technologies, Vol.11 No.2, 2021

has been cited by the following article(s):

[1]	Virtual Test Field for Highly Automated Vehicle Systems in Urban Environments
	2023

[2]	SHENRON-Scalable, High fidelity and EfficieNt Radar simulatiON
	IEEE Robotics and …, 2023

[3]	Modeling of Automotive Radar Sensor in Unreal Engine for Autonomous Vehicle Simulation
	ASME …, 2023

[4]	Data Flow Management Requirements for Virtual Testing of Highly Automated Vehicles
	AVL German …, 2022

[5]	Methodical approach to integrate human movement diversity in real-time into a virtual test field for highly automated vehicle systems
	Journal of …, 2022

[6]	A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving
	Sensors, 2022

[7]	Integration of driving physical properties into the development of a virtual test field for highly automated vehicle systems
	Presented at the …, 2021

[8]	Virtual urban traffic infrastructure for testing highly auto-mated mobility systems
	2021

[1]	SHENRON - Scalable, High Fidelity and EfficieNt Radar SimulatiON IEEE Robotics and Automation Letters, 2024 DOI:10.1109/LRA.2023.3343629

[2]	Modeling of an Automotive Radar Utilizing Grid-DBSCAN and SNR Characteristics of Virtual Objects in Unreal Engine IEEE Access, 2024 DOI:10.1109/ACCESS.2024.3455189

[3]	Methodical Approach to Integrate Human Movement Diversity in Real-Time into a Virtual Test Field for Highly Automated Vehicle Systems Journal of Transportation Technologies, 2022 DOI:10.4236/jtts.2022.123018

[4]	A Survey on Modelling of Automotive Radar Sensors for Virtual Test and Validation of Automated Driving Sensors, 2022 DOI:10.3390/s22155693

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