policy
e2e_lane_keeping
ElSchuer · PyTorch
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Overview
Name
e2e_lane_keeping
Author
ElSchuer
Framework
PyTorch
License
unknown
Skill type
other
Evidence level
untested
Task description
In this project a end-to-end-solution for autonomous lane keeping is developed using imitation learning. The goal is to develop a robust lane keeping system for a model scale car (scale 1:8) for indoor szenarios (e.g. driving szenarios of the Carolo Cup).
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list e2e_lane_keeping yet.
Datasets that reference this policy
0No datasets reference e2e_lane_keeping yet.