Paper-Conference

A Low-Cost System for High-Rate, High-Accuracy Temporal Calibration for LIDARs and Cameras

Hannes Sommer, Raghav Khanna, Igor Gilitschenski, Zachary Taylor, Roland Siegwart, Juan Nieto

Onboard Real-time Dense Reconstruction of Large-scale Environments for UAV

Anurag Sai Vempati, Igor Gilitschenski, Juan Nieto, Paul Beardsley, Roland Siegwart

Evaluation of Combined Time-Offset Estimation and Hand-Eye Calibration on Robotic Datasets

Fadri Furrer, Marius Fehr, Tonci Novkovic, Igor Gilitschenski, Paul Beardsley, Roland Siegwart

Efficient Descriptor Learning for Large Scale Localization

Antonio Loquercio, Marcin Dymczyk, Bernhard Zeisl, Simon Lynen, Igor Gilitschenski, Roland Siegwart

Map Quality Evaluation for Visual Localization

Hamza Merzic, Elena Stumm, Marcin Dymczyk, Roland Siegwart, Igor Gilitschenski

TSDF-Based Change Detection for Consistent Long-Term Dense Reconstruction and Dynamic Object Discovery

Marius Fehr, Fadri Furrer, Ivan Dryanovski, Jürgen Sturm, Igor Gilitschenski, Roland Siegwart, Cesar Cadena

Visual-Inertial Self-Calibration on Informative Motion Segments

Thomas Schneider, Mingyang Li, Michael Burri, Juan Nieto, Roland Siegwart, Igor Gilitschenski

Gone with the Wind: Nonlinear Guidance for Small Fixed-Wing Aircrafts in Arbitrarily Strong Windfields

Luca Furieri, Thomas Stastny, Lorenzo Marconi, Roland Siegwart, Igor Gilitschenski

Monocular Visual-Inertial SLAM for Fixed-Wing UAVs Using Sliding Window Based Nonlinear Optimization

Timo Hinzmann, Thomas Schneider, Marcin Dymczyk, Andreas Schaffner, Simon Lynen, Roland Siegwart, Igor Gilitschenski

A Data-Driven Approach for Pedestrian Intention Estimation

Benjamin Völz, Karsten Behrendt, Holger Mielenz, Igor Gilitschenski, Roland Siegwart, Juan Nieto