3.5k citations · 6k across the 59 of their papers we have counts for
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VersaVIS: An Open Versatile Multi-Camera Visual-Inertial Sensor Suite
Florian Tschopp, Michael Riner, Marius Fehr +7
Robust and accurate pose estimation is crucial for many applications in mobile robotics. Extending visual Simultaneous Localization and Mapping (SLAM) with other modalities such as…
Predicting Unobserved Space For Planning via Depth Map Augmentation
Marius Fehr, Tim Taubner, Yang Liu +2
Safe and efficient path planning is crucial for autonomous mobile robots. A prerequisite for path planning is to have a comprehensive understanding of the 3D structure of the robot…
SegMap: Segment-based mapping and localization using data-driven descriptors
Renaud Dubé, Andrei Cramariuc, Daniel Dugas +5
Precisely estimating a robot's pose in a prior, global map is a fundamental capability for mobile robotics, e.g. autonomous driving or exploration in disaster zones. This task, how…
This is not what I imagined: Error Detection for Semantic Segmentation through Visual Dissimilarity
David Haldimann, Hermann Blum, Roland Siegwart +1
There has been a remarkable progress in the accuracy of semantic segmentation due to the capabilities of deep learning. Unfortunately, these methods are not able to generalize much…
Flexible Trinocular: Non-rigid Multi-Camera-IMU Dense Reconstruction for UAV Navigation and Mapping
Timo Hinzmann, Cesar Cadena, Juan Nieto +1
In this paper, we propose a visual-inertial framework able to efficiently estimate the camera poses of a non-rigid trinocular baseline for long-range depth estimation on-board a fa…
Free-Space Features: Global Localization in 2D Laser SLAM Using Distance Function Maps
Alexander Millane, Helen Oleynikova, Juan Nieto +2
In many applications, maintaining a consistent map of the environment is key to enabling robotic platforms to perform higher-level decision making. Detection of already visited loc…