LaneDetection: LaneNet - Implement/Test lane detection (open source dataset)

[Christiaan1990]

Goal:

Implement, train and test a LaneNet 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
• https://github.com/MaybeShewill-CV/lanenet-lane-detection
• 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

[Hoff97]

Possible existing implementations in pytorch:

• https://github.com/klintan/pytorch-lanenet
• https://github.com/MaybeShewill-CV/lanenet-lane-detection
• https://github.com/leonfrank/lanenet-danet-pytorch
• https://github.com/harryhan618/LaneNet