ALIEN: Assisted Learning Invasive Encroachment Neutralization for Secured Drone Transportation System.

ABSTRACT: Priority-based logistics and the polarization of drones in civil aviation will cause an extraordinary disturbance in the ecosystem of future airborne intelligent transportation networks. A dynamic invention needs dynamic sophistication for sustainability and security to prevent abusive use. Trustworthy and dependable designs can provide accurate risk assessment of autonomous aerial vehicles. Using deep neural networks and related technologies, this study proposes an artificial intelligence (AI) collaborative surveillance strategy for identifying, verifying, validating, and responding to malicious use of drones in a drone transportation network. The dataset for simulation consists of 3600 samples of 9 distinct conveyed objects and 7200 samples of the visioDECT dataset obtained from 6 differ

SUBMITTER: Ajakwe SO 

PROVIDER: S-EPMC9919794 | biostudies-literature | 2023 Jan

REPOSITORIES: biostudies-literature