RGB Optic Flow Bend Classification
A curvature classification model trained on RGB images and wide-angle dense optical flow for video classification tasks.
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Release Time : 3/15/2025
Model Overview
This model classifies road curvature by analyzing RGB images and wide-angle dense optical flow data, suitable for autonomous driving or road analysis scenarios.
Model Features
Multi-modal input
Supports both RGB images and wide-angle dense optical flow as temporal data inputs to improve classification accuracy.
Lightweight implementation
Implemented using the Keras framework for easy deployment and integration.
Model Capabilities
Video classification
Curvature recognition
Temporal data analysis
Use Cases
Autonomous driving
Road curvature detection
Identifies road curvature to assist autonomous driving systems in path planning.
Road safety analysis
Hazardous curve identification
Analyzes road video data to identify potentially dangerous curve areas.
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