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GitHub / mkner / visual-environmental-perception-for-autonomous-vehicles
Visual environmental perception methods for autonomous road vehicles using semantic segmentation to discover drivable surfaces, lane boundaries, and distances to dynamic and static objects
Stars: 0
Forks: 0
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 3.29 MB
Dependencies: pending
Created: about 3 years ago
Updated: 8 months ago
Last pushed: 8 months ago
Last synced: 8 months ago
Topics: autonomous-road-vehicles, autonomous-vehicles, canny-edge-detection, drivable-surface-generation, edge-detection, ground-plane-estimation, hough-line-transform, line-extraction, ransac, semantic-segmentation, visual-environmental-perception