I’ve previously written about parallelizing for loops in C/C++ and C#. This is possible in Python, too, and might even be more important than in the two other languages, as Python’s interpreted nature can make it […]
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I’ve previously written about parallelizing C/C++ for loops with OpenMP. Many of the concepts explained in that article also apply to C#. The main difference is that C# does not use OpenMP. For loops are instead […]
Part 2 of my Godot journey covers reading a text file, drawing the contained vertices, and how to handle drag & drop. Reading a file My go-to tool for visualizing point clouds is CloudCompare. The easiest […]
Modern Mobile Mapping systems make it very easy to quickly map large areas. Current laser scanners with pulse rates of 1 MHz and above make it possible to achieve sufficient point density even at highway driving […]
There were times when programmers did not have to worry about parallelisation, as most computers only had a single CPU. Sure, you could get dual-CPU mainboards, but their use was mostly limited to servers. The need […]
I’ve long been interested in using game engines as tool for visualising and analyzing geographic information. A couple of years ago I played with Unity. I liked how well integrated with C# it was and how […]
I’ve recently acquired an Elgato Stream Deck Mini after reading about it in German computer magazine C’t. For those who are not familiar with the Stream Deck, it’s essentially a programmable macro pad, but with the […]
This article is available in three languages, so make sure to choose your preferred language on the right. 2024 is a lustrum (five-year anniversary) year for me. And I’m not talking about the 70th birthday of […]
Point clouds acquired through laser scanning with mobile mapping systems mounted on rail vehicles have become the de-facto standard for efficient large-scale mapping of rail infrastructure. Unfortunately, point clouds are large and unstructured heaps of data […]