A Framework for Training 3D Object Detection Models on a Limited Amount of Real Data-Reference-Cited by-同舟云学术

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A Framework for Training 3D Object Detection Models on a Limited Amount of Real Data

Published:2023-12-11 Issue: Volume: Page:239-246
ISSN:
Container-title:2023 Seventh IEEE International Conference on Robotic Computing (IRC)
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Author:

Nakanoya Manabu¹,Fujiwaka Masaya¹,Nogami Kousuke¹

Affiliation:

1. Visual Intelligence Research Laboratories NEC Corporation,Kanagawa,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10473521/10473223/10473545.pdf?arnumber=10473545

Reference36 articles.

1. nuScenes: A Multimodal Dataset for Autonomous Driving

2. Augmented LiDAR Simulator for Autonomous Driving

3. LiDAR-Aug: A General Rendering-based Augmentation Framework for 3D Object Detection

4. Neural-Sim: Learning to Generate Training Data with NeRF

5. Vision meets robotics: The KITTI dataset

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