Binary Marker Recognition on Raspberry
Binary Marker Recognition on Raspberry

Fiducial markers are widely used in various applications like robot navigation, logistics, augmented reality. Fig. 1. Applications of fiducial markers Advantages are obvious High contrast Simple code generation Resistance to extremal angles However, when we deal with a large number of markers, real-time recognition becomes challenging, especially on embedded devices with low power CPUs on-board.

Robust Number Plate Detector
Robust Number Plate Detector

The goal was to develop the approach for the automatic detection of the number plate area from the vehicle image. A typical ANPR algorithm includes several steps (Fig. 1): The number plate detection is a crucial step since it strongly affects on the overall system performance.

Road Detector
Road Detector

Our task was to develop the algorithm for the automatic road detection in radar images. The challenge was that the radar images are a bit different from the optical ones. In particular, in the case of synthetic aperture radar (SAR), the image formation process is accomplished via coherent processing of the received signals backscattered from the Earth surface. As a result, the multiplicative speckle noise appears in the SAR images.