Unsupervised path-planning of many asynchronously self-moving vehicles

Presents a technique for the computation of the path of a vehicle in a space where non-stationary obstacles, whose motion parameters are known are moving. This approach is suitable for environments where many vehicles work without a supervisor. Moreover an approach is given for performing operations between images in the wavelet transform domain, resulting in a reduced computation complexity