Pascal Gohl — accepted AI-conference papers

2015

Dense visual-inertial navigation system for mobile robots

Sammy Omari, Michael Bloesch, Pascal Gohl, Roland Siegwart

ICRA 2015poster

Real-time dense mapping and pose estimation is essential for a wide range of navigation tasks in mobile robotic applications. We propose an odometry and mapping system that leverages the full photometric information from a stereo-vision system as well as inertial measurements in a probabilistic fram…

Cited by 43 Source ↗Scholar ↗

2015

Omnidirectional visual obstacle detection using embedded FPGA

Pascal Gohl, Dominik Honegger, Sammy Omari, Markus Achtelik, Marc Pollefeys, Roland Siegwart

IROS 2015poster

For autonomous navigation of Micro Aerial Vehicles (MAVs) in cluttered environments, it is essential to detect potential obstacles not only in the direction of flight but in their entire local environment. While there exist systems that do vision based obstacle detection, most of them are limited to…

Cited by 38 Source ↗Scholar ↗