{
  "fetched_at": "2026-10-22T08:27:33Z",
  "source_url": "https://www.kaggle.com/competitions/dlav-vehicle-trajectory-prediction-medium/data",
  "pages": [
    {
      "name": "data-description",
      "content": "\n###Write the predictoin as csv file with the following format:###\n\n## 1. Write the first row as headers:\nPred_ID,x1,y1,x2,y2,x3,y3,x4,y4,x5,y5,x6,y6\n\n## 2. Write all the remaining rows as your predictions. The defination for each column is given below:\n*   `Pred_ID` - An unique ID for specific scene at specific future frame.  (E.g., '0_0_pred_0' means scene '0_0.pkl' and the '1st' predicted future frame; '1_2_pred_3' means scene '1_2.pkl' and the '4th' predicted future frame.)\n\n*   `x1` - x coordinate of mode 1\n*   `y1` - y coordinate of mode 1\n*   `x2` - x coordinate of mode 2\n*   `y2` - y coordinate of mode 2\n.\n.\n.\n\n*   `x6` - x coordinate of mode 6\n*   `y6` - y coordinate of mode 6\n\n##(Note: each mode indicates one prediction choice.)",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "Evaluation",
      "content": "ADE: Average Displacement Error, which measures the mean squared error between the predicted and ground truth trajectory across all time frames.\n\nminADE_6:  **The leaderboard is using minADE_6**, which is the minimum ADE across 6 future trajectory predictions. ",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "rules",
      "content": "## Rules for Grouping\n\nFor this project, you will work in a team of 3 students. If you are still searching for teammates, please use the discussion forum on Moodle. A good data science team combines a diverse set of skills, and greatly benefits from inter-disciplinary backgrounds.",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    },
    {
      "name": "abstract",
      "content": "In this project, you will learn to use the concepts we have seen in the lectures and practiced in the labs on a challenging real-world problem. You will develop a framework that is able to predict vehicle trajectories. \n\n",
      "isPublished": false,
      "hasIsPublished": false,
      "postTitle": "",
      "hasPostTitle": false,
      "mimeType": "",
      "hasMimeType": false
    }
  ]
}