A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data-Reference-Cited by-同舟云学术

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A Hybrid Pedestrian Detection System based on Visible Images and LIDAR Data

Published:2018 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications
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Author:

El Ansari Mohamed¹,Lahmyed Redouan¹,Tremeau Alain²

Affiliation:

1. Faculty of Science and University of Ibn Zohr, Morocco

2. University Jean Monnet, France

Publisher

SCITEPRESS - Science and Technology Publications

Cited by 12 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. Developing a Tracking-Based Dynamic Flash Yellow Arrow Strategy for Permissive Left-Turn Vehicles to Improve Pedestrian Safety at Intersections;Journal of Transportation Engineering, Part A: Systems;2023-04

2. PedVis-VGG-16: A Fine-tuned deep convolutional neural network for pedestrian image classifications;2022 9th International Conference on Wireless Networks and Mobile Communications (WINCOM);2022-10-26

3. Deep Learning and Feature Extraction for Covid 19 Diagnosis;Computación y Sistemas;2022-06-30

4. A novel visible spectrum images-based pedestrian detection and tracking system for surveillance in non-controlled environments;Multimedia Tools and Applications;2022-04-29

5. Automatic road sign detection and recognition based on neural network;Soft Computing;2022-01-12

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