Machine Vision for Obstacle Avoidance, Tripwire Detection, and Subsurface Radar Image Correction on a Robotic Vehicle for the Detection and Discrimination of Landmines-Reference-Cited by-同舟云学术

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Machine Vision for Obstacle Avoidance, Tripwire Detection, and Subsurface Radar Image Correction on a Robotic Vehicle for the Detection and Discrimination of Landmines

Published:2019-06 Issue: Volume: Page:
ISSN:
Container-title:2019 PhotonIcs & Electromagnetics Research Symposium - Spring (PIERS-Spring)
language:
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Author:

Bartolini A.,Bossi L.,Capineri L.,Falorni P.,Bulletti A.,Dimitri M.,Pochanin G.,Ruban V.,Ogurtsova T.,Crawford F.,Bechtel T.,Sallai G.,Kuske A.,Sinton J.,Truskavetsky S.,Byndych T.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8977603/9017213/09017574.pdf?arnumber=9017574

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Development of Robotic Vehicle with GPS System for Landmine Detection;International Journal of Scientific Research in Mechanical and Materials Engineering;2024-05-05

2. Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging;Remote Sensing;2024-02-14

3. Landmine Detection Robotic Vehicle with GPS Positioning Using STM32;Lecture Notes in Electrical Engineering;2024

4. Application of machine vision technology in manufacturing industries—a study;Machine Intelligence in Mechanical Engineering;2024

5. Functional Requirements Synthesis in Creation of Modular UAV Multisensory System Payload for Mountain Snow Search and Rescue Missions;2021 International Siberian Conference on Control and Communications (SIBCON);2021-05-13

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