WP6-21 - Revision history

Acorde: /* Introduction */

2023-03-13T16:22:13Z

Introduction

← Older revision		Revision as of 16:22, 13 March 2023
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	It motivated the development of the '''IPS Modelling and Analysis Framework (IPS-MAF)''', which, as shown in the figure below, can be used from early design stages, to build up a holistic model of the IPS system. IPS-MAF can be used to analyse and decide key aspect at different levels of the indoor positioning system (deployment of the anchors, sensitivities and transmission powers, transmission frequencies, etc) while keeping a holistic view of the system.		It motivated the development of the '''IPS Modelling and Analysis Framework (IPS-MAF)''', which, as shown in the figure below, can be used from early design stages, to build up a holistic model of the IPS system. IPS-MAF can be used to analyse and decide key aspect at different levels of the indoor positioning system (deployment of the anchors, sensitivities and transmission powers, transmission frequencies, etc) while keeping a holistic view of the system.

	[[File:wp3-~~15_1_05~~.png\|frame\|center\|IPS-MAF provides a qualitative step towards a holistic, model-based design of Indoor Positioning Solutions for long infrastructures]]		[[File:wp3-15_1_04.png\|frame\|center\|IPS-MAF provides a qualitative step towards a holistic, model-based design of Indoor Positioning Solutions for long infrastructures]]

	That is, IPS-MAF enables a holistic model of the IPS, while integrating some functional actual pieces of the application, so in that sense it also enables to advance some part of the application development. Therefore IPS-MAF feeds the conventional platform development and embedded application development phases, where ACORDE has already long expertise. At the same time, the measurements and characterizations that can be derived and refined from platform and application development serve to feedback and polish the holistic model. Summing up, an extended system-level design flow has been enabled, after coupling IPS-MAF to conventional ACORDE development processes for platform development (which includes PCB design, mechanical design, drivers’ development, embedded application development) and application development (where ACORDE typically develops in C or C++, relying on some cross-development environment suited to a specific microcontroller).		That is, IPS-MAF enables a holistic model of the IPS, while integrating some functional actual pieces of the application, so in that sense it also enables to advance some part of the application development. Therefore IPS-MAF feeds the conventional platform development and embedded application development phases, where ACORDE has already long expertise. At the same time, the measurements and characterizations that can be derived and refined from platform and application development serve to feedback and polish the holistic model. Summing up, an extended system-level design flow has been enabled, after coupling IPS-MAF to conventional ACORDE development processes for platform development (which includes PCB design, mechanical design, drivers’ development, embedded application development) and application development (where ACORDE typically develops in C or C++, relying on some cross-development environment suited to a specific microcontroller).

Grolleaue: /* Introduction */

2023-03-10T08:33:07Z

Introduction

← Older revision		Revision as of 08:33, 10 March 2023
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	\|-		\|-
	\| TRL \|\| 3		\| TRL \|\| 3
			\|-
			\| Contact \|\| fernando.herrera at acorde.com
	\|}		\|}

Acorde: /* Introduction */

2022-11-18T13:28:53Z

Introduction

← Older revision		Revision as of 13:28, 18 November 2022
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	[[File:wp3-15_1_05.png\|frame\|center\|IPS-MAF provides a qualitative step towards a holistic, model-based design of Indoor Positioning Solutions for long infrastructures]]		[[File:wp3-15_1_05.png\|frame\|center\|IPS-MAF provides a qualitative step towards a holistic, model-based design of Indoor Positioning Solutions for long infrastructures]]

	That is, IPS-MAF enables a holistic model of the IPS, while integrating some actual pieces of the application, so in that sense it also enables to advance some part of the application development. Therefore IPS-MAF feeds the conventional platform development and embedded application development phases, where ACORDE has already long expertise. At the same time, the measurements and characterizations that can be derived and refined from platform and application development serve to feedback and polish the holistic model. Summing up, an extended system-level design flow has been enabled, after coupling IPS-MAF to conventional ACORDE development processes for platform development (which includes PCB design, mechanical design, drivers’ development, embedded application development) and application development (where ACORDE typically develops in C or C++, relying on some cross-development environment suited to a specific microcontroller).		That is, IPS-MAF enables a holistic model of the IPS, while integrating some functional actual pieces of the application, so in that sense it also enables to advance some part of the application development. Therefore IPS-MAF feeds the conventional platform development and embedded application development phases, where ACORDE has already long expertise. At the same time, the measurements and characterizations that can be derived and refined from platform and application development serve to feedback and polish the holistic model. Summing up, an extended system-level design flow has been enabled, after coupling IPS-MAF to conventional ACORDE development processes for platform development (which includes PCB design, mechanical design, drivers’ development, embedded application development) and application development (where ACORDE typically develops in C or C++, relying on some cross-development environment suited to a specific microcontroller).

	== IPS-MAF Architecture ==		== IPS-MAF Architecture ==

Acorde: /* IPS-MAF Visualizer */

2022-11-04T08:39:09Z

IPS-MAF Visualizer

← Older revision		Revision as of 08:39, 4 November 2022
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	File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)		File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)
	File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)		File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)
	File: WP6_21_IPS_MAF_obstacle_shadow.png \| Shadows ~~reveled~~ in VDOP analysis)		File: WP6_21_IPS_MAF_obstacle_shadow.png \| Shadows revealed in VDOP analysis)
	</gallery>		</gallery>

Acorde: /* Status after C4D */

2022-10-17T09:19:58Z

Status after C4D

← Older revision		Revision as of 09:19, 17 October 2022
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	It is remarkable that the outputs of the IPS-MAF simulations already served to detect issues when conventional least-squares algorithms were used, and to design and test the modified trilateration algorithm, even before the anchor or tag platforms were ready. IPS-MAF dynamic analysis revealed non-straightforward effects and outcomes as the one mentioned, difficult to advance with a manual analysis.		It is remarkable that the outputs of the IPS-MAF simulations already served to detect issues when conventional least-squares algorithms were used, and to design and test the modified trilateration algorithm, even before the anchor or tag platforms were ready. IPS-MAF dynamic analysis revealed non-straightforward effects and outcomes as the one mentioned, difficult to advance with a manual analysis.
	Similarly, for the static analysis. For instance, notice the “coverage” pattern and the “shadow” provoked by obstacles ~~in Figure 63b~~.		Similarly, for the static analysis. For instance, notice the “coverage” pattern in depending the type of DOP (PDOP vs HDOP) and the “shadow” provoked at the floor by obstacles oh the roof of the tunnel.


	Some demo videos will be made available before the end of the project.		Some demo videos will be made available before the end of the project.

Acorde: /* IPS-MAF Visualizer */

2022-10-17T09:18:45Z

IPS-MAF Visualizer

← Older revision		Revision as of 09:18, 17 October 2022
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	File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)		File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)
	File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)		File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)
	File: WP6_21_IPS_MAF_obstacle_shadow.png \| ~~HDOP~~ analysis ~~on a cicle section tunnel~~)		File: WP6_21_IPS_MAF_obstacle_shadow.png \| Shadows reveled in VDOP analysis)
	</gallery>		</gallery>

Acorde: /* IPS-MAF Visualizer */

2022-10-17T09:18:06Z

IPS-MAF Visualizer

← Older revision		Revision as of 09:18, 17 October 2022
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	File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)		File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)
	File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)		File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)
			File: WP6_21_IPS_MAF_obstacle_shadow.png \| HDOP analysis on a cicle section tunnel)
	</gallery>		</gallery>

Acorde: /* Status after C4D */

2022-10-17T09:05:50Z

Status after C4D

← Older revision		Revision as of 09:05, 17 October 2022
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	IPS-MAF is related to the ACORDE IPS, and its development has been triggered and done in the frame of/thanks to COMP4DRONES.		IPS-MAF is related to the ACORDE IPS, and its development has been triggered and done in the frame of/thanks to COMP4DRONES.
	All the aforementioned features are supported with several demonstrative examples.		All the aforementioned features are supported with several demonstrative examples.

			It is remarkable that the outputs of the IPS-MAF simulations already served to detect issues when conventional least-squares algorithms were used, and to design and test the modified trilateration algorithm, even before the anchor or tag platforms were ready. IPS-MAF dynamic analysis revealed non-straightforward effects and outcomes as the one mentioned, difficult to advance with a manual analysis.
			Similarly, for the static analysis. For instance, notice the “coverage” pattern and the “shadow” provoked by obstacles in Figure 63b.


	Some demo videos will be made available before the end of the project.		Some demo videos will be made available before the end of the project.

Acorde: /* IPS-MAF Analyzer */

2022-10-14T12:42:52Z

IPS-MAF Analyzer

← Older revision		Revision as of 12:42, 14 October 2022
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	<u>Dynamic analysis</u> refers to the possibility to perform a simulation and extract out of it different type of metrics, such as estimated positions of the tag and anchors, and errors with regard to their real position.		<u>Dynamic analysis</u> refers to the possibility to perform a simulation and extract out of it different type of metrics, such as estimated positions of the tag and anchors, and errors with regard to their real position.

			[[File:C4D_WP6_IPS_MAF_A_execution.png \| 500px \|center\| Messages in console launched by IPS-MAF Analyzer]]

	Analysis configuration allows to select which specific outputs will be exported, in different formats (mostly, csv and KML for dynamic analysis). Some files are exported in other convenience formats (e.g., .pcd, png). All the outputs for a configured simulation are exported to an output folder, which can be controlled from the tool configuration too.		Analysis configuration allows to select which specific outputs will be exported, in different formats (mostly, csv and KML for dynamic analysis). Some files are exported in other convenience formats (e.g., .pcd, png). All the outputs for a configured simulation are exported to an output folder, which can be controlled from the tool configuration too.

Acorde: /* IPS-MAF Visualizer */

2022-10-14T12:40:59Z

IPS-MAF Visualizer

← Older revision		Revision as of 12:40, 14 October 2022
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	File: WP6_21_IPSMAF_obstacles.png \| section visualization of PDOP analysis with obstacles in the tunnel		File: WP6_21_IPSMAF_obstacles.png \| section visualization of PDOP analysis with obstacles in the tunnel
	File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)		File: WP6_21_path_analysis.png \| Analysis on flight plan (histogram visualization behind)
			File: C4D_WP6_IPS_MAF_A_circle_section.png \| HDOP analysis on a cicle section tunnel)
	</gallery>		</gallery>