Bayesian Gabor Network with Uncertainty Estimation for Pedestrian Lane Detection in Assistive Navigation

Keyphrases

• Assistive Navigation 100%
• Pedestrian Lane Detection 100%
• Uncertainty Estimation 100%
• Gabor 100%
• Vision Impairment 40%
• Impaired People 40%
• Autonomous Driving 20%
• Illumination Conditions 20%
• Semantic Segmentation 20%
• Surface Condition 20%
• Confidence Measure 20%
• Camera-Based Detection 20%
• Time Reduction 20%
• Overfitting 20%
• Gaussian Distribution 20%
• Unstructured Scenes 20%
• Segmentation Performance 20%
• Aleatory Uncertainty 20%
• Detection System 20%
• Compact Model 20%
• Model Size 20%
• Uncertainty Measure 20%
• Resolution Maps 20%
• Variational Bayesian Inference 20%
• Challenging Problems 20%
• Pedestrian 20%
• Unknown Environment 20%
• Objective Evaluation 20%
• Prediction Time 20%
• Segmentation Map 20%
• Epistemic Uncertainty 20%
• Fast Prediction 20%

Engineering

• Gaussians 100%
• Segmentation Method 100%
• Illumination Condition 100%
• Segmentation Map 100%
• Surface Condition 100%
• Aleatoric Uncertainty 100%
• Objective Evaluation 100%
• Epistemic Uncertainty 100%
• Convolutional Neural Network 100%

Computer Science

• lane detection 100%
• Uncertainty Estimation 100%
• Image Segmentation 33%
• Convolutional Neural Network 33%
• Autonomous Driving 33%
• Prediction Time 33%
• Segmentation Map 33%
• Segmentation Method 33%
• Segmentation Performance 33%
• Illumination Condition 33%
• Confidence Measure 33%