LaneDetection: Find open source datasets for the CaroloCup - Githubissues

tum-phoenix / drive_ml

This is the repository for our Machine Learning applications

13 stars 4 forks source link

LaneDetection: Find open source datasets for the CaroloCup #23

Open Christiaan1990 opened 4 years ago

Christiaan1990 commented 4 years ago

Goal:

Understand which datasets are currently used for lane detection, and define which dataset can be used for the CaroloCup.

Assigments:

understand the basics of lane detection
understand which labels are required for line detection in the CaroloCup (dashed line, straight line, etc.)
look for open source datasets and select at least 2 good datasets
store dataset on TUM-PC
- documentation in the TUM-Wiki which datasets look promising, explain how to use them, and what the dataset contains: https://wiki.tum.de/display/phoenix/Machine+Learning

Notes:

Quality and quantity are both important
Training requires a dataset that is i.i.d. (Independent and identically distributed).
- optional dataset: https://xingangpan.github.io/projects/CULane.html
optional dataset: TuSimple/tusimple-benchmark#3
basic information about lane detection: https://wiki.tum.de/display/phoenix/Lane+Detection