PRE2024 3 Group7

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Group

Name Student ID Email Major Ideas
Isaak Christou 1847260 i.christou@student.tue.nl Electrical Engineering Agricultural Weeding Robot

Smart Trash Bin with AI Sorting (or no AI)

Firefighting Drone

Smart Walking Cane for the Visually Impaired

Robotic Road Crack Detector

Luca van der Wijngaart 1565923 l.y.v.d.wijngaart@student.tue.nl Computer Science
Daniel Morales Navarrete 1811363 d.morales.navarrete@student.tue.nl Applied Mathematics Robotic Beach Cleaner
Jeremiah Kamidi 1778013 j.j.kamidi@student.tue.nl Psychology and Technology self driving cars
Joshua Duddles 1719823 j.m.duddles@student.tue.nl Psychology and Technology

The smart trash bin that auto sorts is a fun idea kind of like the machines used in industries where fast automatic sorting is required (for example sorting potatoes by colour, size, shape etc). This can replace all the bins on campus for example since lots of people don't use them correctly.

Robotic crack detector also looks fun. A prototype could be a cheap RC car with some sensors on it to accurately detect cracks and map out the roads. The city management could use it to better map out faults in roads and pavements that could hinder people.

Problem Statement

Objectives

  • Examine and determine the ethical implications of autonomous road maintenance and data reaping.
  • Determine how cracks in road surfaces can be detected using sensors, imaging, or other methods.
  • Determine procedures for assessing the severity of cracks detected and classifying them for maintenance planning.
  • Develop a model of the robotic crack inspection system.
  • Develop a model for automated crack detection and classification using AI or other methodologies.
  • Illustrate the system's usefulness through testing and comparison with traditional manual inspection procedures.

Users (and what they need)

Approach, milestones and deliverables

Our approach to reaching these objectives in regards to the problem statement and the user needs is as follows:

We want to research and design a conceptual framework of a robot that is able to detect road cracks and map these out on a geographical map, for the benefit of road maintenance and infrastructure longevity. We will (partly) perform the first cycle of a multi-phase development cycle consisting of the following phases:

  • Research & requirements gathering
    • This includes both research in the technology needed to build this robot but also the societal and economic effects of the robot and road maintenance in general.
  • Ethical and legal considerations
  • Sensor and other hardware selection
  • Explain the road-crack detection and classification model
  • Build a model/PoC (Proof of Concept)

Along these phases of our first development cycle we will set some milestones for ourselves as to keep our attention on the objectives set. This will be in the form of documentation of our work in a structured manner, making sure that the work put into each phase is represented. This documentation will in turn be part of our deliverables, as will be the model/PoC of our road-crack detecting robot.

Planning

who is doing what and general timeline

Everyone please fill in the task division that we just discussed. I think this section is also meant for the planning of the rest of project and I guess it's highly dependent on our Approach, milestones and deliverables so I'll also think about this.

Deadline Student Responsible topic/chapter Done
15-02 Luca Approach, milestone and deliverables
15-02 Dani Objectives and 5 sources for State of the Art
15-02 Isaak Problem Statement and 5 relevant papers

State of the art

research and write summary on wiki after finding at least 25 relevant scientific papers (aim for 5 each person if there is an interesting one add it as extra). We can split the research to different parts as to make it easier to put together.

Work Records

Week 1

Name Hours Work
Isaak Christou 2 (not done yet) Made the wiki page
Luca van der Wijngaart 1.5 hours Group meeting, first start to the Approach section

Week 2

Week 2

Week 3

Week 3

Week 4

Week 4

Week 5

Week 5

Week 6

Week 6

Week 7

Week 7

Week 8

Week 8