3 accepted papers
In this paper, we present a framework to assess the quality of a pedestrian detector in an autonomous driving scenario. To do this, we exploit performance metrics from the domain of computer vision on one side and so-called threat metrics from the motion planning domain on the other side. Based on a…
Preprogramming of tasks still plays an important role in complex robotic systems despite the advances in automated planning and symbolic learning. Often, it is desired that end-users implement further tasks to adapt the robotic application to their needs. These user-defined tasks have to meet safety…
Mobile robots operating in a shared environment with pedestrians are required to move provably safe to avoid harming pedestrians. Current approaches like safety fields use conservative obstacle models for guaranteeing safety, which leads to degraded performance in populated environments. In this pap…