254 citations · 509 across the 15 of their papers we have counts for
17 papers
VIRUS-NeRF -- Vision, InfraRed and UltraSonic based Neural Radiance Fields
Nicolaj Schmid, Cornelius von Einem, Cesar Cadena +3
Autonomous mobile robots are an increasingly integral part of modern factory and warehouse operations. Obstacle detection, avoidance and path planning are critical safety-relevant…
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…
maplab 2.0 -- A Modular and Multi-Modal Mapping Framework
Andrei Cramariuc, Lukas Bernreiter, Florian Tschopp +5
Integration of multiple sensor modalities and deep learning into Simultaneous Localization And Mapping (SLAM) systems are areas of significant interest in current research. Multi-m…
Descriptellation: Deep Learned Constellation Descriptors
Chunwei Xing, Xinyu Sun, Andrei Cramariuc +5
Current descriptors for global localization often struggle under vast viewpoint or appearance changes. One possible improvement is the addition of topological information on semant…
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Yunke Ao, Le Chen, Florian Tschopp +3
Visual-inertial sensors have a wide range of applications in robotics. However, good performance often requires different sophisticated motion routines to accurately calibrate came…
Superquadric Object Representation for Optimization-based Semantic SLAM
Florian Tschopp, Juan Nieto, Roland Siegwart +1
Introducing semantically meaningful objects to visual Simultaneous Localization And Mapping (SLAM) has the potential to improve both the accuracy and reliability of pose estimates,…