Nico Kaempchen

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— Accurate maps of the static environment are essential for many advanced driver-assistance systems. In this paper a new method for the fast computation of occupancy grid maps with laser range-finders and radar sensors is proposed. The approach utilizes the Graphics Processing Unit to overcome the limitations of classical occupancy grid computation in(More)
In this paper, a track-­‐to-­‐track fusions using information matrix fusion (IMF) is present. It is shown that the IMF performs better than the state estimation. Highly automated driver assistance system is develop to assist drivers to face complex driving situations. A sensor configuration that could detect all surrounding traffic is necessary for such(More)
— This paper presents a method for reasoning about the safety of traffic situations. More precisely, the problem of safety assessment for partial trajectories for vehicles is addressed. Therefore, the Inevitable Collision States (ICS) as well as its probabilistic generalization the Probabilistic Collision States (PCS) are used. Thereby, the assessment is(More)
— The knowledge about lanes and the exact position on the road is fundamental for many advanced driver assistance systems. In this paper, a novel iterative histogram based approach with occupancy grids for the detection of multiple lanes is proposed. In highway scenarios, our approach is highly suitable to determine the correct number of all existing lanes(More)
Reliable object detection and segmentation is crucial for active safety driver assistance applications. In urban areas where the object density is high, a segmentation based on a spatial criterion often fails due to small object distances. Therefore, optical flow estimates are combined with distance measurements of a Laserscanner in order to separate(More)