Alexander Poschke

Graduation:
M.Sc.
Function:
Project engineer
Practice Areas:
Additive manufacturing, robotics / handling, simulation
Phone:
+49 (0)511 279 76-229
E-Mail:
poschke@iph-hannover.de
vCard:
vCard

Publications

Limited visibility during the operation of forklifts is one of the most significant sources of danger in in-plant material handling. Existing systems record concealed areas via cameras and display them directly on monitors in the operator's cab. The operator has to temporarily turn his attention to a screen and is unable to perceive the real information necessary for the driving task. We developed the first augmented reality based driver assistance system for safety improvement in intralogistics. The results show the capability to eliminate view restrictions directly in the operator's field of view and create the illusion of transparent vehicle components.

augmented reality, assistance system, intralogistics

The temporally and spatially accurate display of information in augmented reality (AR) systems is essential for immersion and operational reliability when using the technology. We developed an assistant system using a head-mounted display (HMD) to hide visual restrictions on forklifts. We propose a method to evaluate the accuracy and latency of AR systems using HMD. For measuring accuracy, we compare the deviation between real and virtual markers. For latency measurement, we count the frame difference between real and virtual events. We present the influence of different system parameters and dynamics on latency and overlay accuracy.

augmented reality, image processing, driver assistance system, forklift trucks

Product complexity and variant diversity increase the effort for the development of production processes at SMEs. As part of the IGF research project "Self-learning multi-stage quality monitoring processes for (laser) material processing" (AiF No.: 20419N), an expert system was therefore developed for manufacturing companies in the field of laser material processing. The expert system supports users in process control and quality prediction of new products and product variants .

laser material processing, expert system, machine learning

This article presents a method for superimposing vision constraints based on the principle of augmented reality. The method is based on an overlay of the actual operator's field of view with information from a reconstructed scene. The reconstructed scene is superimposed as a hologram only over the vision-restricting components. The presented method is divided into position determination, data transmission and visualization. These software components are presented in detail. In view of the later use of the system in an industrial truck, the real-time capability of the data transmission, the accuracy of the visualization and the robustness of the position determination are also investigated.

augmented reality, driver assistance system, forklift trucks, image processing, obstacle detection

How to compensate the restricted vision in forklifts with the help of strategically placed cameras and augmented reality glasses? Scientists from ITA and IPH are jointly tackling this question.

Augmented reality, AR, industrial trucks, vision enhancement, assistance system

This article is about building recycling loops for 3D printing. For this purpose, scientists at the Institute for Integrated Production Hannover (IPH) gGmbH are researching process steps for the extraction and processing of recycled plastic materials.

recycling, additive manufacturing, plastic waste

How can additive process chains be automated and print quality monitored? How is a component made of metal and plastic created in multi-material printing? Scientists from Lower Saxony ADDITIV have been researching this and more in the past three years.

additive manufacturing, 3d printing, automation, quality assurance

In this article, a method for automatic visual obstruction detection and masktype congruent visual obstruction compensation, based on the principal of augmented reality, is presented. The method is based on the superposition of a simulated operator’s field of view with information from a scene reconstructed by two RGB-Cameras. These cameras are arranged in a way that they can record the scene information be-hind the view restriction. Besides the presentation of the test rig, a detailed presentation of the image pro-cessing software is given. With a view to the later use of the system in a forklift truck, the real-time capa-bility of the system will be tested and optimization possibilities will be discussed.

augmented reality, driver assistance system, forklift trucks, image processing, obstacle detection

Within the project "CoMoGear - Condition Monitoring of Marine Gearboxes based on Wireless, Energy-Autonomous Sensor Nodes", an energy-autonomous, wireless sensor network was developed for condition diagnosis of highly stressed rotating components in marine gearboxes was developed. This allows intelligent, condition-based monitoring and maintenance, paving the way for unmanned shipping.

sensor nodes, condition monitoring, marine gearbox, energy harvesting

Due to their design, the lift mast and attachments on industrial trucks, among other things, can restrict the operator's field of vision. In the project "Virtual visibility improvement and intuitive interaction through augmented reality on industrial trucks (Visier)", this situation is to be counteracted with the development of a new driver assistance system. With the aid of augmented reality (AR) goggles, the aim is to create the conditions for the driver to be able to block out visual restrictions and thus take a look behind the cargo and the mast in order to detect hazards and obstacles at an early stage.

Augmented Reality, assistance system, industrial trucks

Within the CoMoGear project, an energy self-sufficient wireless sensor network for the condition monitoring of highly stressed rotating components in marine gearboxes was developed. This sensor network consists of several sensor nodes and energy harvesters.

sensor nodes, condition monitoring, marine gearbox, energy harvesting

Additive manufacturing - also known as 3D printing - includes manufacturing processes in which a component is usually built up layer by layer. This article describes the opportunities, hurdles and the current state of development of additive manufacturing.

additive manufacturing, 3D printing

By automating process steps, additive manufacturing can be integrated into industrial value chains. The Institut für Integrierte Produktion Hannover (IPH) gGmbH has been designing a process chain linking 3d printers and mounting stations automatically.

additive manufacturing, 3D printing

Research projects