2017
Reducing drift in visual odometry by inferring sun direction using a Bayesian Convolutional Neural Network
ICRA 2017poster
We present a method to incorporate global orientation information from the sun into a visual odometry pipeline using only the existing image stream, where the sun is typically not visible. We leverage recent advances in Bayesian Convolutional Neural Networks to train and implement a sun detection mo…