We present a method for localizing a single camera with respect to a point cloud map in indoor an...

The 2D to 3D registration problem is to match a query image with a 3D model to establish the geom...

The objective of this Department of Energy funded project is to use empirical testing, life cycle...

The introduction of fully-actuated multirotors has opened the door to new possibilities and more ...

This is the project page of the IROS submission “ORStereo: Occlusion-Aware Recurrent Stereo Match...

Visual odometry remains a challenging problem in real-world applications. Geometric-based methods...

The autonomous landing of an Unmanned Aerial Vehicle (UAV) on moving platforms has been an active...

The detect-and-avoid problem is the “holy grail” for small aircrafts and drones that need to fly ...

The mobility of autonomous robots is still limited especially in real-world offroad terrain (as s...

The recent increase in the use of aerial vehicles raises concerns about the safety and reliabilit...

The problem of visual interestingness detection, which is crucial for many practical applications...

We developed a method for real-time semantic understanding and 3D mapping in both static and dyna...

The Mohamed Bin Zayed International Robotics Competition seeks to exhibit the current state-of-th...

Aerial cinematography is revolutionizing industries that require live and dynamic camera viewpoin...

The conventional way of aging infrastructure (e.g. bridges and tunnels) inspection can be time-co...

What is the Subterranean (SubT) Challenge?As stated on the DARPA SubT page: The DARPA Subterrane...

Below are various projects that allow a drone to fly and land safely in challenging environments.

Over the years our lab our lab has created various open-source planning packages. This list is by...

In this project, we study the problem of understanding the 3D scene layout from images and combin...