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Improving the search for victims in mountain environnements
with geovisualization and competing hypotheses management
Matthieu Virya,b, Marlène Villanova-Olivera, Jacques Gautiera,
Matthew Sreevesa, Paule-Annick Davoinea,b
a Grenoble Informatics Laboratory (Univ. Grenoble Alpes, CNRS, Grenoble INP - Institute of Engineering)
b PACTE research center (Univ. Grenoble Alpes, CNRS, Science Po Grenoble)
✉   matthieu.viry@univ-grenoble-alpes.fr
ANR-16-CE23-0018
ICC’19
Context
• ANR Choucas : Heterogeneous data integration and spatial reasoning
to help in locating mountain victims (Olteanu-Raimond et al., 2017)
July 16, 2019 - Tokyo 2
ICC’19
Context – Example of call
The victim:
- left Le Bourg d’Oisans on a pedestrian path.
- walked several hours towards a ski station.
- felt several meters.
- sees part of a body of water.
- is below a road and hears vehicles.
- is beneath an electric line.
- was in the sun but is now in the shade.
(real example from the project’s red thread)
July 16, 2019 - Tokyo 3
ICC’19
Tools used by rescuers

Currently the rescuer who answers the
phone uses a digital topographical map
and the possibility to display business
layers (hiking trails, ski slopes, etc.).

S/he also refers to several paper guides
(recommended hiking routes, touristic
places, etc.).
July 16, 2019 - Tokyo 4
ICC’19
Tools used by rescuers
The victim sees a lake…
What if it’s the Lac Achard ?
What if it’s any lake in the area ?
→ Deducting the location is done manually by the rescuers
→ Conducting multiple competing hypotheses is difficult (nearly
impossible ?) for the rescuers
July 16, 2019 - Tokyo 5
Did the victim walk towards
the Alpes d’Huez ski station ?
…or towards the Deux Alpes
ski station?
ICC’19
Objectives

supporting the rescuers’ reasoning process through a dedicated
application interface

putting at their disposal various geospatial data that will be useful
to transform what the caller says in corresponding areas on the map

helping to lead several hypotheses simultaneously on the same
case of research

efficiently displaying the areas corresponding to the caller clues.
July 16, 2019 - Tokyo 6
ICC’19
→ These are our requirements for a geovisualization
approach that supports rescuers’ reasoning process
July 16, 2019 - Tokyo 7
ICC’19
Scientific locks

Understand and model the reasoning of rescuers (a specific kind of
user given their expert knowledge of the moutain environment)

Translation of natural language clues into some computer-friendly
formalism taking uncertainty into account

Management and handling of theses clues in the UI

Visual depiction of uncertainty (on the map and on the various UI
components)
July 16, 2019 - Tokyo 8
ICC’19
Our proposal - overview

A prototype of victim location system combining:
• the visualization of geospatial features
• the creation of one or more search scenarios
• the possibility of accounting for the imperfect nature of the
information
July 16, 2019 - Tokyo 9
ICC’19
Our proposal - overview

User-centered design, notably based on prototyping

Involves frequent meeting with the referent rescuer

Having in mind that proposing new methods and UI
components (visualization, clues management, etc.)
could modify the reasoning of the rescuers in front of
the application
July 16, 2019 - Tokyo 10
ICC’19
Our proposal point by point
July 16, 2019 - Tokyo 11
ICC’19
July 16, 2019 - Tokyo 12
ICC’19
Table of filters and scenarios management
July 16, 2019 - Tokyo 13
Clues
Item or category
of items
Uncertainty
parameters
Scenario
construction
ICC’19
Table of filters and scenarios management

Each row corresponds to a clue built from the caller’s information.

One or two distance information(s) can be entered for each clue to
transcript uncertainty about distances.

Each clue can be included in zero or more search scenarios.
July 16, 2019 - Tokyo 14
ICC’19
July 16, 2019 - Tokyo 15
ICC’19
Searchable items tree
July 16, 2019 - Tokyo 16

Objects from the tree are extracted on-the-fly from OpenStreetMap
ICC’19
Searchable items tree
July 16, 2019 - Tokyo 17

Objects can be added individually (« Achard Lake ») ...
ICC’19
Searchable items tree
July 16, 2019 - Tokyo 18

… or by groups (« All the lakes »)
ICC’19
Searchable items tree
July 16, 2019 - Tokyo 19

A text search area allows to filter the list of objects.
ICC’19
Searchable items tree

Items selected from this tree are feeding the filter table.

Items are highlighted on the map when hovering over the tree.
July 16, 2019 - Tokyo 20
ICC’19
July 16, 2019 - Tokyo 21
ICC’19
Map area : Displaying of clues and probable location areas
July 16, 2019 - Tokyo 22
ICC’19
Map area
July 16, 2019 - Tokyo 23
All the lakesAll the ski lifts
3km around Croix de Chamrousse Victim probable locations areas
ICC’19
Map area
July 16, 2019 - Tokyo 24
ICC’19
Map area

Reacts instantly to interactions with other menus (when modifying
uncertainty parameters, etc.)

Allows to add free hand drawing at the end of the search process

Basemap can be chosen from several options (standard
topographical map, orthophoto, various OSM backgrounds)
July 16, 2019 - Tokyo 25
ICC’19
July 16, 2019 - Tokyo 26
A
B
C
D
E
Intended workflow
[A] selection of an item (or a group of items) in the tree to build a filter
[B] selection of the related uncertainty parameters
[C] selection of the scenario in which including the filter
[D] displaying of the corresponding zones
[E] intersection between the various zone to display the probable location areas
ICC’19
Filtering of the items tree

Once probable location areas have been computed, the user can
filter the items tree to only display items within theses areas.

It’s a first step towards a system that could suggest to the rescuer
new questions to be asked to refine the probable location area.
July 16, 2019 - Tokyo 27
Are you near a mountain hut ?
ICC’19
Current limitations and perspectives

Notably :
 User can’t interact with the map to select a specific item for
example
 Temporal dimension is not taken into account
 Querying OSM features is only bounded by the viewport (needs
to be explicited by some cartographic mean)

Perspectives and current work
July 16, 2019 - Tokyo 28
ICC’19

Thank you !
Video demonstration : https://steamer.imag.fr/?page_id=792
CHOUCAS project : http://choucas.ign.fr
Contact: matthieu.viry@univ-grenoble-alpes.fr
July 16, 2019 - Tokyo 29
©PGHMChamonix

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Viry etal choucas_icc19_prez

  • 1. Improving the search for victims in mountain environnements with geovisualization and competing hypotheses management Matthieu Virya,b, Marlène Villanova-Olivera, Jacques Gautiera, Matthew Sreevesa, Paule-Annick Davoinea,b a Grenoble Informatics Laboratory (Univ. Grenoble Alpes, CNRS, Grenoble INP - Institute of Engineering) b PACTE research center (Univ. Grenoble Alpes, CNRS, Science Po Grenoble) ✉ matthieu.viry@univ-grenoble-alpes.fr ANR-16-CE23-0018
  • 2. ICC’19 Context • ANR Choucas : Heterogeneous data integration and spatial reasoning to help in locating mountain victims (Olteanu-Raimond et al., 2017) July 16, 2019 - Tokyo 2
  • 3. ICC’19 Context – Example of call The victim: - left Le Bourg d’Oisans on a pedestrian path. - walked several hours towards a ski station. - felt several meters. - sees part of a body of water. - is below a road and hears vehicles. - is beneath an electric line. - was in the sun but is now in the shade. (real example from the project’s red thread) July 16, 2019 - Tokyo 3
  • 4. ICC’19 Tools used by rescuers  Currently the rescuer who answers the phone uses a digital topographical map and the possibility to display business layers (hiking trails, ski slopes, etc.).  S/he also refers to several paper guides (recommended hiking routes, touristic places, etc.). July 16, 2019 - Tokyo 4
  • 5. ICC’19 Tools used by rescuers The victim sees a lake… What if it’s the Lac Achard ? What if it’s any lake in the area ? → Deducting the location is done manually by the rescuers → Conducting multiple competing hypotheses is difficult (nearly impossible ?) for the rescuers July 16, 2019 - Tokyo 5 Did the victim walk towards the Alpes d’Huez ski station ? …or towards the Deux Alpes ski station?
  • 6. ICC’19 Objectives  supporting the rescuers’ reasoning process through a dedicated application interface  putting at their disposal various geospatial data that will be useful to transform what the caller says in corresponding areas on the map  helping to lead several hypotheses simultaneously on the same case of research  efficiently displaying the areas corresponding to the caller clues. July 16, 2019 - Tokyo 6
  • 7. ICC’19 → These are our requirements for a geovisualization approach that supports rescuers’ reasoning process July 16, 2019 - Tokyo 7
  • 8. ICC’19 Scientific locks  Understand and model the reasoning of rescuers (a specific kind of user given their expert knowledge of the moutain environment)  Translation of natural language clues into some computer-friendly formalism taking uncertainty into account  Management and handling of theses clues in the UI  Visual depiction of uncertainty (on the map and on the various UI components) July 16, 2019 - Tokyo 8
  • 9. ICC’19 Our proposal - overview  A prototype of victim location system combining: • the visualization of geospatial features • the creation of one or more search scenarios • the possibility of accounting for the imperfect nature of the information July 16, 2019 - Tokyo 9
  • 10. ICC’19 Our proposal - overview  User-centered design, notably based on prototyping  Involves frequent meeting with the referent rescuer  Having in mind that proposing new methods and UI components (visualization, clues management, etc.) could modify the reasoning of the rescuers in front of the application July 16, 2019 - Tokyo 10
  • 11. ICC’19 Our proposal point by point July 16, 2019 - Tokyo 11
  • 13. ICC’19 Table of filters and scenarios management July 16, 2019 - Tokyo 13 Clues Item or category of items Uncertainty parameters Scenario construction
  • 14. ICC’19 Table of filters and scenarios management  Each row corresponds to a clue built from the caller’s information.  One or two distance information(s) can be entered for each clue to transcript uncertainty about distances.  Each clue can be included in zero or more search scenarios. July 16, 2019 - Tokyo 14
  • 16. ICC’19 Searchable items tree July 16, 2019 - Tokyo 16  Objects from the tree are extracted on-the-fly from OpenStreetMap
  • 17. ICC’19 Searchable items tree July 16, 2019 - Tokyo 17  Objects can be added individually (« Achard Lake ») ...
  • 18. ICC’19 Searchable items tree July 16, 2019 - Tokyo 18  … or by groups (« All the lakes »)
  • 19. ICC’19 Searchable items tree July 16, 2019 - Tokyo 19  A text search area allows to filter the list of objects.
  • 20. ICC’19 Searchable items tree  Items selected from this tree are feeding the filter table.  Items are highlighted on the map when hovering over the tree. July 16, 2019 - Tokyo 20
  • 22. ICC’19 Map area : Displaying of clues and probable location areas July 16, 2019 - Tokyo 22
  • 23. ICC’19 Map area July 16, 2019 - Tokyo 23 All the lakesAll the ski lifts 3km around Croix de Chamrousse Victim probable locations areas
  • 24. ICC’19 Map area July 16, 2019 - Tokyo 24
  • 25. ICC’19 Map area  Reacts instantly to interactions with other menus (when modifying uncertainty parameters, etc.)  Allows to add free hand drawing at the end of the search process  Basemap can be chosen from several options (standard topographical map, orthophoto, various OSM backgrounds) July 16, 2019 - Tokyo 25
  • 26. ICC’19 July 16, 2019 - Tokyo 26 A B C D E Intended workflow [A] selection of an item (or a group of items) in the tree to build a filter [B] selection of the related uncertainty parameters [C] selection of the scenario in which including the filter [D] displaying of the corresponding zones [E] intersection between the various zone to display the probable location areas
  • 27. ICC’19 Filtering of the items tree  Once probable location areas have been computed, the user can filter the items tree to only display items within theses areas.  It’s a first step towards a system that could suggest to the rescuer new questions to be asked to refine the probable location area. July 16, 2019 - Tokyo 27 Are you near a mountain hut ?
  • 28. ICC’19 Current limitations and perspectives  Notably :  User can’t interact with the map to select a specific item for example  Temporal dimension is not taken into account  Querying OSM features is only bounded by the viewport (needs to be explicited by some cartographic mean)  Perspectives and current work July 16, 2019 - Tokyo 28
  • 29. ICC’19  Thank you ! Video demonstration : https://steamer.imag.fr/?page_id=792 CHOUCAS project : http://choucas.ign.fr Contact: matthieu.viry@univ-grenoble-alpes.fr July 16, 2019 - Tokyo 29 ©PGHMChamonix