Evaluating the Efficacy of Depth Estimation in Obstacle Detection Systems in Simulated Environment-Reference-Cited by-同舟云学术

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Evaluating the Efficacy of Depth Estimation in Obstacle Detection Systems in Simulated Environment

Published:2024-02-16 Issue: Volume: Page:96-100
ISSN:
Container-title:2024 1st International Conference on Robotics, Engineering, Science, and Technology (RESTCON)
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Author:

Janthori Titan¹,Tan Chi Jie¹,Ogawa Shintaro¹,Hayashi Takamasa¹,Hayashi Eiji¹

Affiliation:

1. Kyushu Institute of Technology,Department of Creative Informatics,Fukuoka,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10463532/10463547/10463571.pdf?arnumber=10463571

Reference9 articles.

1. DCF: Disparity computing framework for stereo vision systems

2. Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer

3. Deep Monocular Depth Estimation via Integration of Global and Local Predictions

4. MegaDepth: Learning Single-View Depth Prediction from Internet Photos

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