The GeoIT Wherecamp Conference is a premier conference focusing on the latest research insights around GeoIoT, GNSS, digital mapping, (autonomous) mobility and spatial intelligence of the GeoIT domain including industry and academic institutions.
This year we will once again be joined by industry leaders, subject matter experts and map enthusiasts who will share their vision and exchange ideas. Navigation with smartphones is often considered the key innovation of the enduring 21st century. Few could have predicted the rapid growth at which GeoIT Navigation with Web Maps and Location based Apps would gain traction and start changing the way humans navigate and interact with the world around them.
Similar to “Web 2.0 / Geoweb Infrastructures” in the year 2005, a “Mobile / Location Based Apps 2.0” (LBA) phase, benefiting from Android chipsets RAW GNSS raw data access for sub-meter level outdoor positioning using differential techniques (RTK, PPP, DGPS) and dual frequencies chips in the mass market is expected. A new “IoT / GeoIoT 1.0” age with AR is pushing the digital frontier forward in the indoors already. AR annotations can expand the (geospatial) interaction socially, e.g. leaving an AR-message for guests at the high-tech coffee machine. New main methods from the digital frontier after edit(), calculate(), publish(), transport(), integrate(), navigation(), sense() and habitize() with their derived applications and at the end also worldwide IT/GeoIT players are expected in the next seven years until 2025. Autonomous driving and flying are major long-term developments with the potential of a new Kondratiev-Cycle for 50 years.
In the years ahead, how will consumer expectations and business needs continue to evolve? What challenges will the GeoIT industry need to overcome? How will spatial data, algorithms, interactive maps and location sensors need to adapt? Which new hardware will be required? What is the “equivalent of TCP/IP” for the spatially supported material transport? In which way will indoor positioning sensors, IoT, autonomous cars and drones evolve?
To help answer many of these questions we are looking for speakers from following fields:
Mapping & navigation applications
Autonomous vehicles like drones and cars
Delivery patterns, prices and utilization rates
Public transport/mobility patterns with modern ticketing
Logistics & asset tracking
User experiences
Indoor applications
Augmented Reality applications
GeoIoT applications
Spatial data and components
Spatial probes & big data
Spatial Machine Learning (GeoAI)
Mobile Sensor Networks
GNSS/dGPS
3D and AR Technologies
Open Data
Applications of Android RAW GNSS including differential positioning, dual frequency chipsets and use of Galileo signals
GeoIoT, AR & wearable technologies
Venue:
Technische Universität Berlin, Straße des 17. Juni 135, 10623 Berlin, Germany
Timeline:
October 14th, 2019: Submission deadline for talks here
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Information on how people move within urban areas enables a wide range of application. Shared mobility companies can use this information to optimize their business areas, public transportation companies can... Read More
Nowadays location-based services are ubiquitously been used, for navigation, planning and control of all the different means of transportation out there, even autonomous once. This is also true for the... Read More
Modern geospatial applications are becoming more and more complex. Whether it be an application for self driving cars or prediction engine for energy forecasting the number of moving pieces are... Read More
Wi-Fi RTT allows the system and apps to “measure the distance to nearby RTT-capable Wi-Fi access points” with high precision (around 10 cm in Line-of-Sight). This feature was introduced in... Read More
Organising events is already hard enough. From finding the perfect location to booking the best acts, there is so much that requires an event manager’s attention. With triply, we enable... Read More
Using a mix of static map data, weather and real-time traffic, we compute scores for complexity and risk of specific road situations. These scores are then used to adapt the... Read More
Objective In the research project SAFARI, the Land of Berlin together with partners examines the exchange and updating of digital HD maps as a prerequisite for automated and connected driving.... Read More
Orbica and partner Catalyst developed a user-friendly web application to live stream New Zealand Transport Agency’s 1.5 million crash record database so that transport planners and engineers (with no prior... Read More
Acquiring reliable fixed GNSS solutions under a dense forest canopy is typically unattainable even in more sparse forest stands. Required is not only the accurate global positioning of complete forest... Read More
Deep learning methods for feature extraction using computer vision are giving concrete results. This talk provides an overview of how feature detection from satellite imagery can provide a seamless experience... Read More