Vision-Based Uncertainty-Aware Motion Planning Based on Probabilistic Semantic Segmentation

Stochastic data-driven model predictive control using gaussian processes

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Confidence Calibration and Predictive Uncertainty Estimation for Deep Medical Image Segmentation

(2020) Alireza Mehrtash et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Fast and Bounded Probabilistic Collision Detection for High-DOF Trajectory Planning in Dynamic Environments

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DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

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Fully Convolutional Networks for Semantic Segmentation

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Sampling-based algorithms for optimal motion planning

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The scenario approach for systems and control design

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