{
  "id": 255777,
  "title": "Indoor localisation data without ground truth",
  "url": "/competitions/indoor-location-navigation/discussion/255777",
  "author_name": "Saurabh",
  "post_date": "2021-07-29T09:10:44.969000",
  "votes": 1,
  "comment_count": 0,
  "views": 0,
  "content": "<p>I am working on an indoor localisation dataset that does not have the ground truth and the agenda is to find out human-2 interactions from the noisy data (features: x,y,floor, timestamp). I am looking for some guidance around ways to approach it, if someone can help, please feel free to respond here or DM. I'll be grateful!</p>",
  "messages": [
    {
      "id": 1403600,
      "postDate": "2021-07-29T09:10:44.970Z",
      "content": "<p>I am working on an indoor localisation dataset that does not have the ground truth and the agenda is to find out human-2 interactions from the noisy data (features: x,y,floor, timestamp). I am looking for some guidance around ways to approach it, if someone can help, please feel free to respond here or DM. I'll be grateful!</p>",
      "rawMarkdown": "I am working on an indoor localisation dataset that does not have the ground truth and the agenda is to find out human-2 interactions from the noisy data (features: x,y,floor, timestamp). I am looking for some guidance around ways to approach it, if someone can help, please feel free to respond here or DM. I'll be grateful!",
      "votes": 1
    }
  ],
  "comments": [],
  "raw_markdown_by_id": {
    "1403600": "I am working on an indoor localisation dataset that does not have the ground truth and the agenda is to find out human-2 interactions from the noisy data (features: x,y,floor, timestamp). I am looking for some guidance around ways to approach it, if someone can help, please feel free to respond here or DM. I'll be grateful!"
  }
}