Image processing algorithms for self-driving cars navigation

The paper describes research and development of navigation algorithms for self-driving cars using multimodal input. The basis of such algorithms is the integration of the image processing results obtained from high-resolution cameras, as well as a lidar data. Such fusion method based on nonlinear filtering of detected and identified fixed landmarks. The paper substantiates the consistency of the solution and provides characteristics of its effectiveness.