LaneDetection: ENet-SAD - Implement/Test lane detection (open source dataset) - Githubissues

tum-phoenix / drive_ml

This is the repository for our Machine Learning applications

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LaneDetection: ENet-SAD - Implement/Test lane detection (open source dataset) #38

Open Christiaan1990 opened 4 years ago

Christiaan1990 commented 4 years ago

Goal:

Implement, train and test a ENet-SAD (Self Attention Distillation) algorithm and test it with the open source datasets CULane and TuSimple

Assigments:

Understand how the ML-algorithms works
Implement the ML-algorithms
Train and test it with an open source dataset
Documentation in the TUM-Wiki: https://wiki.tum.de/display/phoenix/Machine+Learning

Notes:

https://paperswithcode.com/task/lane-detection/codeless
paper: https://arxiv.org/abs/1908.00821
optional dataset: https://xingangpan.github.io/projects/CULane.html
optional dataset: https://github.com/TuSimple/tusimple-benchmark/issues/3
basic information about lane detection: https://wiki.tum.de/display/phoenix/Lane+Detection