The collection of high-resolution training data is crucial in building robust plant disease diagnosis systems, since such have a significant impact on diagnostic performance. However, they are very difficult to obtain and not always available practice. Deep learning-based techniques, particularly generative adversarial networks (GANs), can be applied generate high-quality super-resolution image...

With the continuous development of 3D LiDAR (Light Detection And Ranging) mapping algorithm and its application in various fields, size point cloud map becomes a bottleneck that limits from running for long time. In this paper, method based on scan-to-map variable resolution NDT (normal-distributions transform) registration is proposed. When updating global map, processing can reduce improve ac...