Motion planning for automated driving under uncertainty and with limited visibility

Researchers at the FZI Research Center for Information Technology have developed a new method that could improve the motion planning of autonomous vehicles within uncertain environments or in conditions of limited visibility. Their paper, pre-published on arXiv, outlines a technique to avoid collisions in the worst-case evolution of a given scenario.