Pilz Gmbh & Co Kg.

Daimler Ag

Lars Krueger

Dietmar Doettling

Martin Wendler

Christian Woehler

Ulrich Kressel

Rainer Ott

Werner Progscha

Franz Kummert

Joachim Schmidt

Bjoern Barrois

Gerhard Sagerer

Andre Franke

Tobias Goevert

In a method for collision-free interaction between a machine having mobile machine elements and objects in its vicinity, safety regions are established and monitored using the knowledge of the current position and the dynamic behavior. In particular, image data of the mobile machine element are recorded by means of an image acquisition system and are correlated with a database compiled in a training phase with image data of at least one mobile machine element. The database contains image data relating to a plurality of movement phases within the movement process of the machine. Using the database, both the current position of the mobile machine element is ascertained and a future position, reachable within the stopping time, is estimated. The dynamic behavior of the machine in the event of collision risk is optimized on the basis of this estimation.

Camera-based monitoring of machines with mobile machine elements for collision prevention

The invention relates to a method for matching an object model to a three-dimensional point cloud, wherein the point cloud is generated from two images by means of a stereo method and a clustering method is applied to the point cloud in order to identify points belonging to respectively one cluster, wherein model matching is subsequently carried out, with at least one object model being superposed on at least one cluster and an optimum position of the object model with respect to the cluster being determined, and wherein a correction of false assignments of points is carried out by means of the matched object model. A classifier, trained by means of at least one exemplary object, is used to generate an attention map from at least one of the images. A number and/or a location probability of at least one object, which is similar to the exemplary object, is determined in the image using the attention map, and the attention map is taken into account in the clustering method and/or in the model matching.

Method for matching an object model to a three-dimensional point cloud

A method for observing a person in an industrial environment using a multicamera system to acquire image data about the position and alignment of a person, including a person's body parts. These image data are then examined with regard to the imaging of a person so that whenever a person has been detected in the image data, an articulated virtual 3D model of the human body is matched to this person hypothesis. Subsequently, this virtual body model is continuously matched to the movement behavior of the person detected in the image data. A hazard potential is determined using knowledge of the position and the movement behavior of the virtual body model in space. The hazard potential thus determined is subjected to a threshold value comparison in order to act upon the movement control of the machine or the machine part in the event of this threshold value being exceeded.

Method for observation of a person in an industrial environment

Passive methods for three-dimensional reconstruction of a scene by means of image data are generally based on the determination of spatial correspondences between a number of images of the scene recorded from various directions and distances. A method and a device are disclosed which provide a high reliability in the solution of the correspondence problem in conjunction with a low computational outlay. Image areas for determining the correspondences are determined within a plurality of images forming at least two image sequences. In preferred embodiments, a parameterized function h(u, v, t) is matched to each of the image areas in a space R(uvgt) defined by pixel position (u, v), image value g and time t. The parameters of the parameterized functions are used to form a similarity measure between the image areas.

Method and device for three-dimensional reconstruction of a scene

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Ulm, Germany

Lars Krueger