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.
AI classification
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.