A Simple Algorithm for Non-cooperative Target Recognition Based on Lidar

Wang, Mao; Fu, Jinyu; Wang, Yankun

doi:10.1109/iccr55715.2022.10053919

Cited by 1 publication

(1 citation statement)

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Industrial robots, such as drying and code robots, are commonly utilized. On the other hand, service robots like restaurant service and humanoid robots are often employed in indoor settings [2]. After years of collection and sorting, the International Federation of Robots has given a preliminary definition to the service robot: the service robot is a semi-autonomous or fully autonomous robot, which can complete the service work intended for human health but does not include the equipment engaged in production.…”

Section: Introductionmentioning

confidence: 99%

Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

Dong

2023

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

In order to improve the efficiency and accuracy of mobile robot visual image feature recognition, a mobile robot visual image feature recognition method based on machine vision is proposed in this paper. Firstly, the development of mobile robot vision is analyzed, and the specific functions of robot visual feature recognition method are designed; Then, the Fourier series method is used to collect the mobile robot visual image, and the matrix associated with the autocorrelation function is calculated according to the Harris algorithm to complete the edge feature extraction of the mobile robot visual image; SIFT feature points of mobile robot visual image are classified, and mobile robot visual image feature recognition is realized through machine vision. The experimental results show that when the number of images is 600, the accuracy of image feature recognition and the loss value of image edge feature extraction of this method are 96.98% and 6.38%, respectively, and the number of iterations is 500. The time of visual image feature recognition of this method is only 3 minutes; The method has the lowest error mean and error variance under different noise conditions. This method can effectively improve the efficiency and accuracy of image feature recognition.

show abstract

Section: Introductionmentioning

confidence: 99%

Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

Dong

2023

EAI Endorsed Trans Energy Web

View full text Add to dashboard Cite

show abstract

A Simple Algorithm for Non-cooperative Target Recognition Based on Lidar

Cited by 1 publication

References 13 publications

Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

Mobile Robot Vision Image Feature Recognition Method Based on Machine Vision

Contact Info

Product

Resources

About