Traditional approaches for active mapping focus on building geometric ma...
In this work, we present an end-to-end heterogeneous multi-robot system
...
Currently, GPS is by far the most popular global localization method.
Ho...
In this paper, we describe Direct Sparse Odometry Lite (DSOL), an improv...
We present an empirical investigation of a new mapping system based on a...
Scalability is a critical problem in generating training images for deep...
Robotic exploration of underground environments is a particularly challe...
In this work we propose long wave infrared (LWIR) imagery as a viable
su...
Real-time image semantic segmentation is an essential capability to enha...
Depth estimation is an important capability for autonomous vehicles to
u...
Periodical inspection and maintenance of critical infrastructure such as...