Point Cloud MAP901 Building Rich Interior Hazard Maps for First Responders

Point Cloud MAP901 Building Rich Interior Hazard Maps for First Responders
3D Indoor Point Cloud
Team Organizations	City of Memphis University of Memphis
Team Leaders	Gertrude Moeller Lan Wang Eddie Jacobs
Participating Municipalities	Memphis TN
Status	Implemented
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Description

Build a catalog of 3D maps with clear identification of safety-related objects to help first responders navigate safely and quickly during emergency/crisis.

Challenges

Currently there is lack of availability of rich interior maps to first responders. It delays response time of first responders. The available maps do not have any details of objects of interest of First Responders. This lack of information impacts first responder's safety and efficiency. With smart maps they can easily navigate at incident site and take action.

Solutions

The project will collect data to build 3D indoor maps with annotated objects of interest (e.g. exits and fire extinguishers) for first responders.

Major Requirements

• Establish project team
• Develop project communication and deliverables schedule
• Consolidate survey site details required for survey
• Prepare survey schedule
• Send out notification to sites with survey timings necessary details including privacy measures to be taken
• Perform survey by scanning the buildings
• Data analysis and annotation
• Develop GIS application
• Review and test the application
• Project conclusion

Performance Targets

Key Performance Indicators (KPIs)	Measurement Methods
Average ease of navigation will be improved significantly Response time will be reduced. (More information will be available once data is collected, processed, implemented and tested. Project is in initial stage to provide any significant number.)	Measurement of First responder’s navigation time in minutes with help of regular maps Vs with help of 3D maps Measurement of response time in minutes with help of 3D maps labelled with First responder’s objects of interest

Standards, Replicability, Scalability, and Sustainability

• Methods used during the project will be used to generate similar 3D maps for buildings on a large scale
• The indoor maps catalog of a diverse set of buildings can be used as benchmark for 3D indoor maps generation of other buildings with similar characteristics

Cybersecurity and Privacy

• Access to survey data and GIS application will be provided only to authorized personnel only on request basis.
• We will encrypt our data with per-namespace keys to prevent unauthorized access and give fine-granularity access to authorized users.
• For privacy, we will use automated methods to remove humans in our camera images.

Impacts

• Reduction in first responder’s navigation time at site of crisis/emergency
• Reduced response time with help of smart maps providing information about objects of interest of First responders.

Demonstration/Deployment

• Survey buildings using LiDAR backpack, 3D camera, GPS, temperature, humidity, and sound sensors
  • 7 buildings in Memphis, TN
  • 1.86 million sqft. space
• Equipment: GVI LiBackpack with Velodyne PUCK LiDAR, Insta360 Pro 2 camera
• Leverage Deep Neural Networks to process, analyze and annotate data with objects of interests for first responders
• ArcGIS based app for first responders and a webpage with catalog of 3D indoor maps