Obstacle detection by multi-sensor fusion of a laser scanner and depth camera-Reference-Cited by-同舟云学术

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Obstacle detection by multi-sensor fusion of a laser scanner and depth camera

Published:2023-11-01 Issue: Volume:7 Page:13-18
ISSN:
Container-title:2023 11th International Conference on Control, Mechatronics and Automation (ICCMA)
language:
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Author:

Saleem Zainab¹,Long Philip²,Huq Saif³,McAfee Marion¹

Affiliation:

1. Atlantic Technological University,Centre for Mathematical Modelling and Intelligent Systems for Health and Environment (MISHE),Sligo,Ireland

2. Atlantic Technological University,Department of Mechanical & Industrial Engineering,Galway,Ireland

3. Kinsley Engineering Centre York College of Pennsylvania,Dept. of Elec. & Comp. Eng. and Comp. Science,York

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10374481/10374594/10374970.pdf?arnumber=10374970

Reference19 articles.

1. Gesture-based human-robot interaction for human assistance in manufacturing

2. Robot perceptual adaptation to environment changes for long-term human teammate following

3. Scalable Representation Learning for Long-Term Augmented Reality-Based Information Delivery in Collaborative Human-Robot Perception

4. A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping

5. A convolutional neural network-based multi-sensor fusion approach for in-situ quality monitoring of selective laser melting

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