How to use NGSIM I80 dataset for lane changing detection application in Matlab?

I would like to use deep learning techniques to detect lane changing scenario present in NGSIM I80 dataset. I have downoaded processed video and ground truth (csv) file also.

But i don't know how exactly to proceed further in detecting the lane change of vehicle.

[idris]

You will need to use the following guide:

credit (Dr Omveer)

After extracting the data for US-101 (assuming using US-101), follow these steps:

1. Filter Vehicles on Lanes 1-5:

- Consider only the vehicles present on lanes 1 to 5.

2. Identify Target Vehicles on Lanes 2-4:

- Find the target vehicles that are present on lanes 2 to 4.

3. Extract Trajectory Data:

- Extract the trajectory data along with the frame number, vehicle ID, lane number, time, and position for the target vehicles.

4. Frame-by-Frame Analysis for Each Target Vehicle:

- For each target vehicle, process the data frame by frame.

4.1 Identify Vehicles in Each Frame:

- For each frame, identify the target vehicle and the surrounding vehicle IDs.

4.2 Determine Positions:

- Find the positions of the identified vehicles.

5. Save Variables:

- Save all variables for the target vehicle.

6. Repeat for Next Target Vehicle:

- Repeat steps 3 to 5 for the next target vehicle.