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08/23/2023
Path-Constrained State Estimation for Rail Vehicles
Globally rising demand for transportation by rail is pushing existing in...
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07/28/2023
Local and Global Information in Obstacle Detection on Railway Tracks
Reliable obstacle detection on railways could help prevent collisions th...
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12/01/2022
maplab 2.0 – A Modular and Multi-Modal Mapping Framework
Integration of multiple sensor modalities and deep learning into Simulta...
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03/01/2022
Descriptellation: Deep Learned Constellation Descriptors for SLAM
Current global localization descriptors in Simultaneous Localization and...
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10/18/2021
NeuralBlox: Real-Time Neural Representation Fusion for Robust Volumetric Mapping
We present a novel 3D mapping method leveraging the recent progress in n...
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09/30/2021
Unified Data Collection for Visual-Inertial Calibration via Deep Reinforcement Learning
Visual-inertial sensors have a wide range of applications in robotics. H...
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07/30/2021
SemSegMap- 3D Segment-Based Semantic Localization
Localization is an essential task for mobile autonomous robotic systems ...
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04/10/2021
CalQNet – Detection of Calibration Quality for Life-Long Stereo Camera Setups
Many mobile robotic platforms rely on an accurate knowledge of the extri...
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04/08/2021
Dynamic Object Aware LiDAR SLAM based on Automatic Generation of Training Data
Highly dynamic environments, with moving objects such as cars or humans,...
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02/16/2021
Hough2Map – Iterative Event-based Hough Transform for High-Speed Railway Mapping
To cope with the growing demand for transportation on the railway system...
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11/04/2020
Learning Trajectories for Visual-Inertial System Calibration via Model-based Heuristic Deep Reinforcement Learning
Visual-inertial systems rely on precise calibrations of both camera intr...
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08/29/2020
Driving Through Ghosts: Behavioral Cloning with False Positives
Safe autonomous driving requires robust detection of other traffic parti...
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05/24/2020
Learning Camera Miscalibration Detection
Self-diagnosis and self-repair are some of the key challenges in deployi...
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04/02/2020
Go Fetch: Mobile Manipulation in Unstructured Environments
With humankind facing new and increasingly large-scale challenges in the...
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09/27/2019
SegMap: Segment-based mapping and localization using data-driven descriptors
Precisely estimating a robot's pose in a prior, global map is a fundamen...
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04/25/2018
SegMap: 3D Segment Mapping using Data-Driven Descriptors
When performing localization and mapping, working at the level of struct...
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04/24/2018