Phenomenological Modelling of Camera Performance for Road Marking Detection

Engineering

• Road 100%
• Energy Engineering 50%
• Model Input 50%
• Physical Model 50%
• Computational Cost 50%
• Image Processing 50%
• Computational Effort 50%
• Vehicle Dynamics 50%
• Network Model 50%
• Input Data 50%
• Trajectory Planning 50%
• Backpropagation 50%
• Detection Performance 50%
• Hidden Layer 50%
• Infinite Number 50%
• Illumination Variation 50%
• Perceptron 50%

Material Science

• Optical Property 100%
• Multilayer 100%

Computer Science

• lane detection 100%
• Conjugate Gradients 16%
• Illumination Variation 16%
• Machine Perception 16%