For autonomous driving, it is important to obtain precise and high-frequency localization information.This paper proposes a novel Omegas method in which the Inertial Measurement Unit (IMU), wheel encoder, and lidar odometry are utilized together to estimate the ego-motion of an unmanned ground vehicle.The IMU is fused with the wheel encoder to obta

Background: A lot of research on audit-related services and accountability in the international and African contexts has been conducted.However, none of those empirical investigations have been done in the South African context, focussing specifically, on how the material irregularity (MI) of the recently amended Public Audit Act impacts accountabi

Exemplar-based algorithms are a popular technique for image inpainting.They mainly have JUICY IMMUNE ENERGY two important phases: deciding the filling-in order and selecting good exemplars.Traditional exemplar-based algorithms are to search suitable patches from source regions to fill in the missing parts, but they have to face a problem: improper

Aiming at the problem of traffic data distribution shift caused by new unknown attacks in the industrial Internet, a malicious traffic identification method based on neighborhood filtering and stable learning was proposed to enhance the effectiveness and robustness of the existing graph neural network model in identifying known malicious traffic.Fi