Positioning and Trilateration

This post shows how it is possible to find the position of an object in space, using a technique called trilateration. The traditional approach to this problem relies on three measurements only. This tutorial addresses how to it is possible to take into account more measurements to improve the precision of the final result. This algorithm is robust and can work even with inaccurate measurements.

If you are unfamiliar with the concepts of latitude and longitude, I suggest you read the first post in this series: Understanding Geographical Coordinates.

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Understanding Geographical Coordinates

This series introduces the concept of trilateration. This technique can be applied to a wide range of problems, from indoor localisation to earthquake detection. This first post provides a general introduction to the concept of geographical coordinates, and how they can be effectively manipulated. The second post in the series, Positioning and Trilateration, will cover the actual techniques used to identify the position of an object given independent distance readings. Most trilateration tutorials require the measures from the sensors to be precise and consistent. The approach here presented, instead, is highly robust and can tolerate inaccurate readings.

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The Top 5 Hidden Features of Python

Python aims to be an elegant and expressive language; this post includes its top 5 hidden features:

  1. List slicing
  2. For…else syntax
  3. Yield statement
  4. Multiple assignments
  5. Argument unpacking

The term hidden is loosely used to indicate features which are generally unique to Python, or not very well known. I covered the most interesting Easter eggs which are really hidden in Python in this post. Continue reading