GeoMonday 2017.4 – Building Materials Logistics & Geographic Optimization

geocom_Logo_RGB The distribution of concrete is one of the most complex logistics management tasks. Ready-mix concrete has a very short shelf life of approx. 90 minutes and small and large order quantities must be delivered quickly, accurately and as cost-effectively as possible to geographically widely distributed and frequently-changing unloading points. Through the use of geo information, the various operational processes of the building material logistics can be optimized.

Babak Toloue Tehrani is responsible for transport and logistics projects and products at Geocom Deutschland GmbH. His main focus is on integrating geo-functionality into applications and processes for the logistics iBabak_Toloue_Tehranindustry. The customization of street data for routing and optimization tasks within ArcGIS based on specific use cases has been the focal point of his work in the past decade.

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GeoMonday 2017.4 – Logistics 2020

When it comes to logistics, most of the people think of parcels and the shipment of them. But the topic is much more comprehensive and touches a lot of more branches than parcel delivery. In general, logistics is about processes and the handling of the low of things between two spatially distinct points. It compasses everything which can be carried like food, persons, electricity or even data. However, logistics has to deliver solutions to critical challenges which dramatically influence our lifes today and in the future. For example, how to transport large amounts of electricity from a production site to the places where it is required in a suitable time or how to handle the transport of people and goods in more and more crowded cities with overwhelmed infrastructure whilst the demand on faster and more dynamic transportation services is increasing?

These are only some of the questions we have to deal with and on which logistical solutions have a significant impact. However, our mission at the last GeoMonday this year is to give you a broader insight into the challenges, solutions and trends in the field of logistics. We hope to be able to present you some innovative products and interesting projects albeit on a smaller scale. Inline with the topic we invite you to a entirely new location. A location where logistics is a huge part of the daily business. We are happy to announce that the IVU Traffic Technologies AG is going to host the GeoMonday this time. Therefore, be part of this year’s last edition of the GeoMonday and join us on 11th December in Berlin in the premises of IVU.

Date: 11 December 2017
Time: 19 – 22 Uhr
Location: IVU Traffic Technologies AG, Bundesallee 88, 12161 Berlin

GeoMonday 2017.3 – Natural language understanding in web mapping applications

conterra-logo “Will speech soon do away with typing” – This question has recently been raised by a large German Newspaper. Lately, more and more speech assistants like Google Assistant, Amazone’s Alexa, Microsoft Cortana or Apple’s Siri are reaching the market and all owing users to control many parts of their life by voice input. This Technology is called natural language and understanding (NLU) and may also be used to control web mapping technology. Imagine that you could say “show me all schools in Berlin” instead of using a selection tool to select those features.

Matthias Stein is a software engineer at con terra GmbH. Previously he studies Bild_Mathias_SteinGeoinformatics at the Bochum University of Applied Science.

Martin Wilden studies Geoinformatics at the University of Münster and  worked as student assistant for 52° North Initiative for Geospatial Open Source Software GmbH. Bild_Martin_WildenAfter studying he joined con terra GmbH as software developer.

 

GeoMonday 2017.3 – From aerial images to maps with Deep Learning

TerraLoupe_logoWith the increasing amount of aerial imagery – regardless if captured from aircrafts or UAV  – available, automatic analysis of this data becomes more and more important to make use of this data. TerraLoupe uses deep neural networks to automatically detect objects of interest for various industries such as automotive, insurance or energy to help their clients getting deeper insights for their business critical applications. This includes high-definition maps for autonomous driving, risk assessment for insurances and solar potential analysis.

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Sebastian Gerke studied Computer Science at the University of Karlsruhe, after which he worked as a research associate at the Fraunhofer HHI and pursued research in computer vision and machine learning. In 2015 he co-founded TerraLoupe, a startup that brings deep learning expertise to the field of aerial imagery.

GeoMonday 2017.3 – How neural networks make GIS-supported crop production more efficient

EsriDeutschlandHigh-tech has already arrived in agriculture. Modern agricultural machinery and geographic information systems make precision farming possible. An important aspect in crop production is the basic fertilization with nutrients and additives. The pH value can already be determined in a small scale and during the crossing of a tractor with specific sensors. For essential macronutrients like phosphorus, on-site soil sampling as well as complex and cost-intensive determination of the content in the laboratory are still necessary. Phosphorus content depends on chemical and physical soil conditions. If these conditions are known, the content of phosphorus can be estimated. This paper provides extracts from a research project on how neural networks help to estimate local phosphorous content for fertilization by learning those nonlinear multilateral relationships in the soil.

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Michael Marz is a sales engineer at Esri Deutschland GmbH. Previously, he was a scientific staff member at the University of Halle and conducted research in the thematic field of efficient crop production with focus on fertilization and self-learning algorithms.

GeoMonday 2017.3 – Artificial Intelligence

Nowadays „Artificial Intelligence“ celebrates its comeback to the top-IT-buzzword-lists. Neverthless, the topic is around for decades. But in the recent years, significant progresses has been made. We see a wide range of new business models and applications also in the geo area, which are made possible by ever-improving pattern recognition algorithms and machine learning technologies. Transforming geodata into loaction meaning also powers next generatio decision-making systems that are now being available for all kind of users. More and more systems are becoming at least semi-autonomous and proposing smart suggestions, which will change the way we interact with and perceive geo-spatial applications.

Date: 18th of September 2017

Time: 7:00 pm

Place: Office Club Berlin, Pappelallee 77/78, 10437 Berlin

Get your tickets for the 3th GeoMonday 2017 now at https://geomonday2017-3.eventbrite.de

 

GeoMonday 2017.1 – The Full Exploitation of Open GI

ENERGIC_logoThe European project ENERGIC-OD (European Network for Redistributing Geospatial Information to user Communities – Open Data) address the heterogeneity of GI world and the lack of the single system which could satisfy the different user-requirements in world of geoinformation. The adopted approach is by utilising a brokering architecture and deploying a set of virtual hubs and a single point of access to geospatial datasets. This approach facilitates the development of multidisciplinary applications, based on full exploitation of open GI.

Studied Architecture and urban development, Frank Iden started as an Urban planner and Architect. Later he founded his own firm in 1992, SRP GmbH, where the Geographical Information Systems were developed for “Senate department for urban development and environment Berlin”. The interdisciplinary information system (Fachübergreifendes Informationssystem, FIS), the Geoportal of Berlin (FIS-Broker), and specialised procedures for city, landscape, environmental planning are among their products.

GeoMonday 2016.3– Impressions

A big thank you to all the speakers and also to the audience. It was a great evening, full of interesting Geo-Topics and yummy pizza.

For everyone who could not be there or would like to recall some information, we will publish the slideshows and the video very soon.

We are looking forward to seeing you on the next GeoMonday on the beauty of maps. Keep checking this blog for updates.

GeoMonday 2016.3 – The Potential of VR

Photogrrealities-ioammetry has been around for over 150 years and its first and foremost usage was measurements and cartography. With the reinvention of structure from motion algorithms and the immense increase in computation power new potential got unlocked. With the automated extraction of 3D data meshes can be created automatically and the images can be mapped on the 3D surface. Digital Maps already transition to full 3D reconstructions. The recent developments not only have an impact on the Geospatial Industry, but also in other fields. Image mapped 3D reconstructions have a high visual fidelity and because of this get used more and more visual effects and very recently videogames. With VR the potential further increases as VR makes you feel like you are there. Feeling fully present in a 3D scene makes reconstructions of the real world incredibly interesting as you essentially “teleport” to a different place. The huge importance of this is emphasized by the fact that Facebooks interest in VR is essentially to create a teleporter.

David Finsterwalder is the Founder and CEO of realities.io. Working in Archeology david-finsterwalderhe gained profound knowledge in 3D Reconstruction through LiDAR Scanning, UAV and Ground Photogrammetry. Driven by the question how to unlock the potential of the gathered data for public relations and museum context he started to look into realtime 3D graphics and eventually VR HMDs for visualization. Amazed by all the possibilities for scene reconstructions and VR HMDs for Archeology and beyond he founded realities.io.