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C.R.A.W.L

Complete Road Assessment With Lidar

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Image by Karsten Würth (@karsten.wuerth)

WHO WE ARE

We are a team of four senior Engineering Technology students at Texas A&M University. Our objective is to provide an innovative solution to the current method of identifying road damage, specifically potholes.

Each member of our team strives to be an industry leader in their respective field. Which has resulted in a team that is driven to push boundaries and establish the next industry standard for excellence.

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Project Manager: Micheal Ramirez

Software Engineer: Santiago Garza

Hardware Engineer: Brandon Hagen

Test and Integration Engineer: Harvey Stewart

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We look forward to exceeding your expectations.

Home: About Us
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PROBLEM STATEMENT

  • Potholes and other related road damage is reportedly costing Americans an average of $3 Billion a year.

  • Current system for reporting road damage relies on civilian reporting to notify the local government of road hazards, which is outdated 

  • Our solution is to create a process of reporting and assessing road damage to increase the efficiency of the road repair system of local agencies

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DELIVERABLES

  • A Lidar and camera equipped device that can be mounted on a vehicle and is capable of detecting road damage

  • Software that takes the data collected by the device and depicts on a map where the damage is and when the data was collected

  • Software that will analyze road damage data using deep learning and generate a report that can be filtered by the severity of the damage

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FUNCTIONAL REQUIREMENTS

  • Scan the road and detect changes in road terrain

  • Take pictures each time a change is detected

  • Confirm damage using our deep learning software

  • Geotag, timestamp, and generate report

  • Necessary equipment and software required:

    • SICK Tim 781 Lidar

    • Raspberry Pi 4

    • Stereoscopic Camera Stereo Pi

    • BerryGPS IMUv3

    • Power Supply/Regulation

    • Communication

    • Software

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INSPIRATION: TIM$10K CHALLENGE

The second annual contest sponsored by SICK, Inc. challenges universities nationwide to develop and implement new ways to utilize their TiM 781 270 degree Lidar. Only 20 teams are selected to compete for the top spot. The winning team is rewarded with a trip to the company’s headquarters in Germany, $10,000, and bragging rights.

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