An Efficient Multimodal Fusion Pipeline for Nighttime 3D Object Detection with PointrendPainting-Reference-Cited by-同舟云学术

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An Efficient Multimodal Fusion Pipeline for Nighttime 3D Object Detection with PointrendPainting

Published:2023-08-10 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CIC International Conference on Communications in China (ICCC)
language:
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Author:

Peng Xiting¹,Zhang Tingkai¹,Zhang Xiaoyu²,Dong Mianxiong³,Ota Kaoru³

Affiliation:

1. Shenyang University of Technology,School of Information Science and Engineering,Shenyang,China,110178

2. Shenyang University of Technology,School of Artificial Intelligence,Shenyang,China,110178

3. Muroran Institute of Technology,Department of Sciences and Informatics,Muroran,Japan,050-8585

Funder

Ministry of Education

Natural Science Foundation of Liaoning Province

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10233255/10233122/10233322.pdf?arnumber=10233322

Reference16 articles.

1. A deep learning based image enhancement approach for autonomous driving at night

2. FuseMODNet: Real-Time Camera and LiDAR Based Moving Object Detection for Robust Low-Light Autonomous Driving

3. PointRend: Image Segmentation As Rendering

4. Vehicle Detection Using Convolutional Neural Network for Autonomous Vehicles

5. Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues

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