Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes
Channel: DLR RM
Date: 2021-10-27

This video presents an uncertainty estimation algorithm for planetary exploration aerial robots - ARDEA. The robot detects rovers and landers semantically. The key technology behind is a sparse Gaussian Processes with the Neural Tangent Kernel, which provides fast and reliable uncertainty estimates for neural networks. An in-depth discussion of the presented results is provided in the paper "Trust Your Robots! Predictive Uncertainty Estimation of Neural Networks with Sparse Gaussian Processes" at the 5th Conference on Robot Learning (CoRL) 2021.


DLR (CC-BY 3.0)