Exploration and Mapping in Visually-degraded Environments using Aerial Robots - Preliminary Results @autonomousrobotslab
Exploration and Mapping in Visually-degraded Environments using Aerial Robots - Preliminary Results  @autonomousrobotslab
Uploaded November 2016 | Updated September 2026, 3 weeks ago
These are preliminary results on exploration and mapping inside a tunnel with approximate dimensions of WIDTHxHEIGHTxLENGTH = 3x4x30m. The robot navigated along half of it (approximately) and our team evaluated the capability of localization and mapping using NIR camera/IMU, as well as Laser Time-of-Flight sensors.

For the element of VI-localization we are using ROVIO developed at ASL, ETH Zurich: github.com/ethz-asl/rovio

The nightvision cameras are supported with appropriately synchronized LEDs.

This result corresponds to preliminary work in the field of autonomous exploration and mapping in visually-degraded environments. It was conducted by the Autonomous Robots Lab at the University of Nevada, Reno.
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Kostas Alexis |

Exploration and Mapping in Visually-degraded Environments using Aerial Robots - Preliminary Results

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