A Study of Recognition Method of Curved Surface Reflector Code by LiDAR-Reference-Cited by-同舟云学术

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A Study of Recognition Method of Curved Surface Reflector Code by LiDAR

Published:2023-01-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Consumer Electronics (ICCE)
language:
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Author:

Sugita Rio¹,Oguchi Yuma²,Wada Tomotaka³,Hashimoto Naohisa⁴

Affiliation:

1. Graduate School of Science and Enigineering, Kansai University,Osaka,Japan

2. Graduate School of Engineering Science, Kansai University,Osaka,Japan

3. Kansai University,Faculty of Engineering Science,Osaka,Japan

4. National Institute of Advanced Industrial Science and Technology,Ibaraki,Japan

Funder

Kansai University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10043349/10043179/10043419.pdf?arnumber=10043419

Reference12 articles.

1. Feature Detection for Vehicle Localization in Urban Environments Using a Multilayer LIDAR

2. Robust and Precise Vehicle Localization Based on Multi-Sensor Fusion in Diverse City Scenes

3. VoxNet: A 3D Convolutional Neural Network for real-time object recognition

4. Fusion of Hyperspectral and LIDAR Remote Sensing Data for Classification of Complex Forest Areas

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