Lightweight Machine Learning-Driven Monocular Sidewalk Path Extraction for Embedded Micromobility Navigation
cs.CV, cs.AI
Submitted: 2026-08-25
Updated: 2026-08-25
Code: https://github.com/Lkhanaajav/live_test_scooter_project
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- End to End Learning for Self-Driving Cars
- Focus on BEV: Self-calibrated Cycle View Transformation for Monocular Birds-Eye-View Segmentation
- Diffusion-FS: Multimodal Free-Space Prediction via Diffusion for Autonomous Driving
- Autonomous Navigation in Rows of Trees and High Crops with Deep Semantic Segmentation
- Precise and Robust Sidewalk Detection: Leveraging Ensemble Learning to Surpass LLM Limitations in Urban Environments
- TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars
- Path Planning using a One-shot-sampling Skeleton Map
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