38 citations · 50 across the 14 of their papers we have counts for
14 papers
ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification
Nicolas Gorlo, Kenneth Blomqvist, Francesco Milano +1
Most object-level mapping systems in use today make use of an upstream learned object instance segmentation model. If we want to teach them about a new object or segmentation class…
Path-Constrained State Estimation for Rail Vehicles
Cornelius von Einem, Andrei Cramariuc, Roland Siegwart +2
Globally rising demand for transportation by rail is pushing existing infrastructure to its capacity limits, necessitating the development of accurate, robust, and high-frequency p…
Efficient volumetric mapping of multi-scale environments using wavelet-based compression
Victor Reijgwart, Cesar Cadena, Roland Siegwart +1
Volumetric maps are widely used in robotics due to their desirable properties in applications such as path planning, exploration, and manipulation. Constant advances in mapping tec…
Material-agnostic Shaping of Granular Materials with Optimal Transport
Nikhilesh Alatur, Olov Andersson, Roland Siegwart +1
From construction materials, such as sand or asphalt, to kitchen ingredients, like rice, sugar, or salt; the world is full of granular materials. Despite impressive progress in rob…
Neural Implicit Vision-Language Feature Fields
Kenneth Blomqvist, Francesco Milano, Jen Jen Chung +2
Recently, groundbreaking results have been presented on open-vocabulary semantic image segmentation. Such methods segment each pixel in an image into arbitrary categories provided…
Present and Future of SLAM in Extreme Underground Environments
Kamak Ebadi, Lukas Bernreiter, Harel Biggie +28
This paper reports on the state of the art in underground SLAM by discussing different SLAM strategies and results across six teams that participated in the three-year-long SubT co…