soft_information

The purpose of this code is to adapt the methods presented in the publication Soft Information for Localization-of-Things for locating firefighters on an intervention site.

Installation

Create a virtual environment and run the following lines:

git clone https://github.com/bsppbep/soft_information
cd soft_information
pip install -r requirements.txt

Usage

We consider the scenario in which 3 beacons are placed respectively at the coordinates (0,0), (1,1) and (2,2). The goal is to find these positions based only on the following measurements:

• position of 0 : (0,0) (low uncertainty)
• position of 2 : (2,2) (low uncertainty)
• distance 0-1 : 1.41 (medium uncertainty)
• distance 1-2 : 1.41 (medium uncertainty) These measurements are stored in the data/si1.json file.

Run:

import soft_information

SI_list = soft_information.parse_scenario('soft_information/data/si1.json')
positions, _ = soft_information.compute_positions(SI_list, nb_points=3)

print(positions.round())

It returns

[[0. 0.]
 [1. 1.]
 [2. 2.]]

Correct answer.