State-of-the-Art Sensor Models for Virtual Testing of Advanced Driver Assistance Systems/Autonomous Driving Functions-Reference-Cited by-同舟云学术

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State-of-the-Art Sensor Models for Virtual Testing of Advanced Driver Assistance Systems/Autonomous Driving Functions

Published:2020-10-29 Issue:3 Volume:3 Page:233-261
ISSN:2574-075X
Container-title:SAE International Journal of Connected and Automated Vehicles
language:en
Short-container-title:SAE Intl. J CAV

Author:

Schlager Birgit,Muckenhuber Stefan,Schmidt Simon,Holzer Hannes,Rott Relindis,Maier Franz Michael,Saad Kmeid,Kirchengast Martin,Stettinger Georg,Watzenig Daniel,Ruebsam Jonas

Publisher

SAE International

Cited by 35 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Depth-Buffer-Based Lidar Model With Surface Normal Estimation;IEEE Transactions on Intelligent Transportation Systems;2024-08

2. Safety of the Intended Functionality Validation for Automated Driving Systems by Using Perception Performance Insufficiencies Injection;Vehicles;2024-07-04

3. FMCW Lidar Simulation with Ray Tracing and Standardized Interfaces;SAE Technical Paper Series;2024-07-02

4. A visual detection algorithm for autonomous driving road environment perception;Engineering Applications of Artificial Intelligence;2024-07

5. An Overview of Millimeter-Wave Radar Modeling Methods for Autonomous Driving Simulation Applications;Sensors;2024-05-22

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