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Lane Position Estimation #40

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a-0-dev opened this issue Nov 19, 2019 · 0 comments

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machinelearning ml_lanedetection

a-0-dev commented Nov 19, 2019

Goal: estimate the position of the car on the lane based on the labeled images from the Bosch workshop.

Convention for representation: 0 is middle, -1 middle of left lane, 1 is middle of the right lane (goes up to 2)

Can be put into a sub-folder directly at drive_ml (as a jupyter notebook for example)

Where to put the data:
SSD mount is under /datasets_2 on the workstation
Make a sub-folder called lane_offset for the data recorded

Tasks:

import the data (on the workstation SSD)
train CNN-based regression approach to detect offset to the current middle line

a-0-dev added machinelearning ml_lanedetection labels

a-0-dev assigned LeonardoErlacher

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