Real-time Contaminated Surface Determination Algorithm for Automotive LiDAR Sensors-Reference-Cited by-同舟云学术

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Real-time Contaminated Surface Determination Algorithm for Automotive LiDAR Sensors

Published:2023-07-01 Issue:7 Volume:31 Page:531-545
ISSN:1225-6382
Container-title:Transaction of the Korean Society of Automotive Engineers
language:en
Short-container-title:KSAE

Author:

Won Jongjin,Kang Yeonsik,You Byungyong

Funder

Ministry of Trade, Industry and Energy

Korea Institute for Advancement of Technology

Ministry of Science and ICT

Institute of Information and Communications Technology Planning and Evaluation

Publisher

The Korean Society of Automotive Engineers

Subject

Automotive Engineering

Reference17 articles.

1. Real-Time Object Behavior Prediction Based on LiDAR Suitable for Urban Autonomous Driving

2. A Study of Curved Lane Detection Based on Dual Sensor Monitoring of LiDAR and Camera

3. J. K. James, G. Puhlfürst, V. Golyanik and D. Stricker, “Classification of Lidar Sensor Contaminations with Deep Neural Networks,” Computer Science in Cars Symposium Proceedings, pp.8-16, 2018.

4. Automotive LiDAR pollution detection system based on total internal reflection techniques

5. Influences of weather phenomena on automotive laser radar systems

Cited by 2 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. Performance Development of Fluidic Oscillator Nozzle for Cleaning Autonomous-Driving Sensors;Applied Sciences;2024-02-17

2. Reliability Analysis of LiDAR Sensor for Automotive Applications;Transaction of the Korean Society of Automotive Engineers;2024-02-01

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