LANDING TRACKING CONTROL METHOD AND SYSTEM BASED ON LIGHTWEIGHT TWIN NETWORK AND UNMANNED AERIAL VEHICLE

Patent №

US 11,634,227

Granted

2023-04-25

Filed 2022

Owner

GUANGDONG UNIVERSITY OF TECHNOLOGY

Lab

AI components

4

ml · nlp · vision · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

17584563

A landing tracking control method comprises the following contents: a tracking model training stage and an unmanned aerial vehicle real-time tracking stage. The landing tracking control method extracts a network Snet by using a lightweight feature and makes modification, so that an extraction speed of the feature is increased to better meet a real-time requirement. Weight allocation on the importance of channel information is carried out to differentiate effective features more purposefully and utilize the features, so that the tracking precision is improved. In order to improve a training effect of the network, a loss function of an RPN network is optimized, a regression precision of a target frame is measured by using CIOU, and meanwhile, calculation of classified loss function is adjusted according to CIOU, and a relation between a regression network and classification network is enhanced.

Machine learningNatural languageVisionAI hardwareG05D 1/0676G06T 7/246G05D 1/042G06N 3/0464G06N 3/0495G06N 3/09G06T 7/277G06T 7/60+21 more

AI classification

Vision1.00
Machine learning1.00
AI hardware1.00
Natural language0.83
Speech0.46
Knowledge representation0.33
Planning0.17
Evolutionary computation0.00

Ownership

GUANGDONG UNIVERSITY OF TECHNOLOGY

assignment · 587710770

Assignors

LU, RENQUAN, XU, YONG, RAO, HONGXIA, CHEN, HUI, LUO, YONGMIN

On an employer assignment, the assignors are typically the inventors.

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