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ENME489Y: REMOTE SENSING FINAL PROJECT PRESENTATION AARON BARLEV APRIL 30 TH , 2019
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ENME489Y: Remote Sensing Final Project Presentationfinal mapping_f.txt - Notepad Ln 1, col 100% File Edit Format View Help 80252 06256 06256 06256 06256 06256 06256 06256 06256 80252

Sep 01, 2020

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Page 1: ENME489Y: Remote Sensing Final Project Presentationfinal mapping_f.txt - Notepad Ln 1, col 100% File Edit Format View Help 80252 06256 06256 06256 06256 06256 06256 06256 06256 80252

ENME489Y: REMOTE SENSINGFINAL PROJECT PRESENTATIONAARON BARLEV

APRIL 30TH, 2019

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LIDAR SENSOR DESIGN

Pi Camera

Raspberry Pi

3D-printed mount

Arduino Uno

Line Laser

Battery pack

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THE TARGET

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THE TARGET

• Black fence with “M” cut-out

• Surrounded by brick pillars

• Back-side is impossible to map (with existing tripod)

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RANGE DATA COLLECTION

• Save image with the current IMU angle as the filename

• Read in image from Pi Camera

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HSV Filtering

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HSV Filtering

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RANGE DATA PROCESSING

• Declare the lower and upper HSV thresholds for the image

• Declare the ro and rpc LiDAR parameters• Declare the laser to camera separation distance

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RANGE DATA PROCESSING

• Process the image using the preset HSV threshold• Iterate across vertical lines on the image, storing the location of each “bright” pixel

• Take the average if multiple “bright” pixels are found

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RANGE DATA PROCESSING

• Calculate the distance from LiDAR using the preset parameters

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3D POINT CLOUD GENERATION

• Read in the x, y, z data from the text file

• Filter out noise using a mode-variance model

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3D POINT CLOUD GENERATION

• Combine the x, y, z coordinates into a single plot• Compute using MATLAB

• Adjust the x, y, z position of each data set for the point cloud

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BEFORE FILTERING

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AFTER FILTERING

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3D POINT CLOUD GENERATION