Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models-Reference-Cited by-同舟云学术

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Benchmarking and Functional Decomposition of Automotive Lidar Sensor Models

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Rosenberger Philipp,Holder Martin,Huch Sebastian,Winner Hermann,Fleck Tobias,Zofka Marc Rene,Zollner J. Marius,D'hondt Thomas,Wassermann Benjamin

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8792328/8813768/08814081.pdf?arnumber=8814081

Cited by 19 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. Real-Time Ray-Tracing-Based Simulation of Motion Distortion Effect on LiDAR;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

3. What can we Learn from Virtual Sensor Models for Self Localization and Mapping for Autonomous Mobile Systems?;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

4. The Effect of Rainfall and Illumination on Automotive Sensors Detection Performance;Sustainability;2023-04-27

5. Toward open benchmark tests for automotive lidars, year 1: static range error, accuracy, and precision;Optical Engineering;2023-01-05

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