LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme-Reference-Cited by-同舟云学术

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LiDAR-Based Pedestrian Detection Using Multiple Features and Dimensionality Reduction Scheme

Published:2022-05-26 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on System Science and Engineering (ICSSE)
language:
Short-container-title:

Author:

Jhong Sin-Ye¹,Wang Yu-Quan²,Cheng Wei-Jia³,Hwang Hao-Wei³,Chen Yung-Yao²

Affiliation:

1. National Cheng Kung University,Department of Engineering Science,Taipei,Taiwan

2. National Taiwan University of Science and Technology,Department of Electronic and Computer Engineering,Taipei,Taiwan

3. National Taiwan University of Science and Technology,Department of Electronic and Computer Engineering,Taiwan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9947350/9947352/09948235.pdf?arnumber=9948235

Reference19 articles.

1. Pedestrian recognition using high-definition LIDAR

2. An extended set of Haar-like features for rapid object detection

3. A comparative study of texture measures with classification based on featured distributions

4. Histograms of Oriented Gradients for Human Detection

5. Pedestrian Detection from Lidar Data via Cooperative Deep and Hand-Crafted Features

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