Showing posts with label public safety. Show all posts
Showing posts with label public safety. Show all posts
Friday, November 17, 2023
The proximity algorithm
In 2009, we announced our goal to research, design, and document a scalable, emergency urban environment plan to help victims of natural disasters to reintegrate into society. Fourteen years in the making, we have now published the framework.
Wednesday, July 12, 2017
Public LiDAR data set
New York University releases a large laser scanned data set for urban development.
Tuesday, July 11, 2017
Motion vectors, inertia, and strategy
For a deeper understanding of vectors, inertia, and motion strategy, see Racetrack:
Try not to crash online here.
Further discussion here.
Try not to crash online here.
Further discussion here.
Labels:
computer science,
education,
public safety,
robotics,
simulation,
transportation
Saturday, July 8, 2017
Autonomous Driving
FYI: an open-access overview of autonomous driving
Labels:
engineering,
intelligence,
public safety,
robotics,
transportation
Monday, January 9, 2017
Applying Deep Learning to Detect Damage in Urban Areas
Analyze and estimate the extent of damage in a disaster area: Link
Wednesday, April 6, 2016
Friday, December 11, 2015
Spacious solar-powered shelters
Combining form, function, and sustainability: families and children can have a safer place to call home.
Friday, September 25, 2015
Thursday, September 24, 2015
3D Printer to Build Emergency Housing
40 foot tall 3D printer plans to construct housing efficiently and on-demand: link
Saturday, December 19, 2009
Proximity algorithm
Because millions can be left homeless when disaster strikes, kynamatrix is planning sustainable and collaborative environments for the homeless to reintegrate into society.
kynamatrix's goal is to research, design, and document a scalable, emergency urban environment plan by creating a fractal-like recursive algorithm, also known as a "Scalable Recovery Algorithm." kynamatrix expects the plans to handle from 1,000 to 100,000 people per instance and to be rapidly deployable across the nation.
The algorithm can have additional applicability to assist displaced veterans, homeless people in general, and can be adapted to assist other cultures around the globe.> Read more (pdf)
kynamatrix's goal is to research, design, and document a scalable, emergency urban environment plan by creating a fractal-like recursive algorithm, also known as a "Scalable Recovery Algorithm." kynamatrix expects the plans to handle from 1,000 to 100,000 people per instance and to be rapidly deployable across the nation.
The algorithm can have additional applicability to assist displaced veterans, homeless people in general, and can be adapted to assist other cultures around the globe.> Read more (pdf)
Thursday, January 31, 2008
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