Currently, GPS is by far the most popular global localization method.
Ho...
Scalability is a critical problem in generating training images for deep...
Traditionally, controllers and state estimators in robotic systems are
d...
In this paper we consider the task of image-guided depth completion wher...
We address the localization of robots in a multi-MAV system where extern...
Real-time image semantic segmentation is an essential capability to enha...
Depth estimation is an important capability for autonomous vehicles to
u...
In this paper we propose a convolutional neural network that is designed...
Periodical inspection and maintenance of critical infrastructure such as...
This paper develops an unsupervised learning algorithm that trains a Dee...