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LaneDetection: LaneNet - Implement/Test lane detection (open source dataset) #39

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Christiaan1990 opened this issue Nov 3, 2019 · 1 comment

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machinelearning ml_lanedetection

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Christiaan1990 commented Nov 3, 2019 •

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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: tusimple benchmark ground truth TuSimple/tusimple-benchmark#3
basic information about lane detection: https://wiki.tum.de/display/phoenix/Lane+Detection

Christiaan1990 added machinelearning ml_lanedetection labels

a-0-dev assigned Hoff97

Hoff97 commented Nov 5, 2019 •

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Possible existing implementations in pytorch:

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