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

5 次查看(过去 30 天)
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.
  1 个评论
idris
idris 2024-6-4
编辑:idris 2024-6-4
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.

请先登录,再进行评论。

回答(0 个)

类别

Help CenterFile Exchange 中查找有关 Automated Driving Toolbox 的更多信息

产品


版本

R2019a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by