What does intrastate mean just not hm meaning
Are you involved in an innovative degree in applied computer science interested in putting geographic applications into practice? Do you like that mathematics and modern Programming techniques? Are you tempted to think about technical solutions and put them into practice? Are you interested in machine learning methods, which are becoming increasingly important in the age of big data and digitization?
Then we recommend this course of study, in which you learn with your mathematical-technical strengths to analyze complex problems from the field of geospatial and navigation according to the state of technology and science, to model and implement the solutions found and to integrate the corresponding sensor and to integrate system environments.
What does one actually mean by Geospatial?
Geoinformatics is the development and application of methods for computer-aided modeling and analysis of spatial structures and processes. The focus here is on geographic information, i.e. data that has a spatial and temporal relationship. In addition to geodetic basics and working with different sensors such as GNSS, cameras and laser scanners, you will learn the various evaluation methods and approaches of modern data analysis. You will learn how you can analyze and evaluate such geodata with in-depth programming knowledge in Java, C #, Python and MATLAB, and how you can develop and program solutions for complex problems yourself.
Examples of typical questions in geoinformatics are:
- How can you record objects safely, quickly and accurately with UAVs (or drones)?
- How does machine learning or data mining work?
- How can objects and their properties be determined fully automatically from high-resolution point clouds?
- How can a 3D map for augmented reality be generated with camera glasses?
- How does computer vision work?
- What is remote sensing?
- What does the term sensor fusion mean?
- What exactly is mobile robotics?
- How does my "Friendfinder App" work on my smartphone?
How does it actually work Navigation?
Navigation means having constant knowledge of your (own) position. The position can be determined with the help of a wide variety of sensors, such as a camera, a laser or a GNSS receiver. By knowing the exact position, an optimal path to a destination can now be calculated and the vehicle or aircraft or another object can be controlled with the inclusion of further factors such as drift or the like.
Examples of typical questions in navigation are
- How does a navigation device calculate the shortest route?
- How does autonomous driving actually work?
- How does the navigation system know different routes to my destination?
- How can the exact position be calculated from a GNSS signal?
- How can a driver assistance system calculate the position of a vehicle from camera images?
- What possibilities are there to determine one's position within buildings?
- How does the new LTE mobile communications standard actually work for use in navigation issues?
In general, it is not enough to use just one sensor, but only the interaction of several, often complementary systems, ensures accuracy, stability and thus suitability for everyday use in modern navigation systems.
In addition to the sensor problem, the display and, above all, software processing of geodata also play an important role in navigation
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