Real time mapping of safest path during wildfire

MOHAMMED AYMAN HABIB

SAI ESHWAR TADEPALLI

ANUSHA VIVEKANAND

This Photo by Unknown Author is licensed under CC BY-NC-ND

TABLE OF CONTENTS

3. Our Team

4. Consideration

5. Problem : What

6. Problem : Why

7. Solution : What

8. Need for the proposed solution

9. Energy Cost and Air Pollution Prevention

10. Existing Solution

11. Solution overview : How

12. Cost of the solution

13. Scalability

14. Conclusion

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Our Team

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Real time mapping of safest path during wildfire

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Timeline

SAMPLE TEXT

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Problem : What

To implement a Camera + LiDAR based navigation system to aid forest rangers in mitigation and rescue operations during active wildfires

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Problem : Why

• Localizes an unknown environment
• Assists in navigation without prior knowledge
• Can be used for several applications

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Need for the Proposed Solution

• Wildfires can escalate at unprecedented rates
• This leads existing trails within the wilderness to be blocked off
• The terrain needs to be re-analysed to determine the best route for response teams to curb the fire or assist in evacuation
• Dynamic changes to the terrain may prove to be a challenge in terms of time and resources needed to determine the best course of action
• Existing aerial views and satellite imaging do not render accurate and real time maps of the affected area

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Energy Cost and Air Pollution Prevention

• In order to avoid planes that scope out the affected area this solution is being implanted.
• As a result, it significantly reduces air pollution by reducing CO₂ emissions and also reducing energy costs by conserving fuel

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Existing Solution

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Existing Solutions include drones, unmanned aeriel vehicles

Solution Overview :How

• The proposed navigation system is has two facets to it, namely the LiDAR (Light Detection and Ranging) and the camera. Data from these sensors includes:
• Intensity
• Number of returns
• Return Number
• Scan Angle
• Scan Direction
• Point Classification
• Utilising this data, we can use SLAM algorithms to create real-time 3D Maps of the area capable of providing suggested navigation routes to get to the desired location efficiently.

• SLAM is used in various domains such as:
• Automotive Navigation
• Airborne Analysis
• Terrestrial Terrain Analysis

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• There are different kinds of SLAM algorithms namely:
• Extended Kalman Filter
• Rao Blackwellized Particle Filter
• Fast SLAM

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Solution Overview :How

• Based on the following criteria one can determine which SLAM algorithm and LiDAR/Camera hardware setup can be used:
• Required Range and Resolution
• Field of View
• Update Rate and Latency
• Cost and Complexity .

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Methodology of Implementation

• Methodology of Implementation:
• Re-use disbanded fire watch towers and current ranger look out stations with LiDAR/Camera Hardware interface
• Transmit Data using existing Wireless Sensor Networks (WSNs) using a microprocessor
• Data is received by the remote host
• Data is processed for mapping in real-time

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Cost of the solution

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The cost per unit is around $300 / watch tower. However, with an increase in production numbers the cost per unit can be significantly reduced.

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Scalability

• The use of existing infrastructure such as Fire Lookout towers makes this product scalable through out North America.
• Relying on pre-existing Wireless Sensor Networks to interface with our product we are able to make the product modular and robust.
• Partnering with the U.S National Park Service to assist in locating and setting up the devices would expedite scalability

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Conclusion

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Save lives faster through this technology

Use of resources more judiciously through this application

Reduces damage brought about by wildfires

Thank you

Mohammed Ayman Habib

Sai Eshwar Tadepalli

Anusha Vivekanand

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