Object Distance Estimation from a Binocular Vision System for Robotic Applications Using Artificial Neural Networks-Reference-Cited by-同舟云学术

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Object Distance Estimation from a Binocular Vision System for Robotic Applications Using Artificial Neural Networks

Published:2022-11-09 Issue: Volume: Page:
ISSN:
Container-title:2022 10th International Conference on Control, Mechatronics and Automation (ICCMA)
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Author:

Torres Alvarado Sally¹,Borja Borja Mario G.²,Borja Torres Katherine³

Affiliation:

1. National University of Callao,Systems Engineering Department,Callao,Peru

2. National Engineering University,Mechanical Engineering Department,Lima,Peru

3. Pontificia Universidad Catolica del Peru,Sciencie and Engineering Department,Lima,Peru

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10011453/10011454/10011610.pdf?arnumber=10011610

Reference9 articles.

1. Autonomous Collision Avoidance System for a Multicopter using Stereoscopic Vision

2. Distance Measurement and Camera Calibration based on Binocular Vision Technology

3. Stereoscopic Vision-Based Relative Navigation for Spacecraft Proximity Operations

4. Designing a bio-inspired foveated active vision system

5. Object Distance Estimation with Machine Learning Algorithms for Stereo Vision

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