Andrei Cramariuc | DeepAI

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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...

0 Cornelius von Einem, et al. ∙

∙ 07/28/2023

Local and Global Information in Obstacle Detection on Railway Tracks

Reliable obstacle detection on railways could help prevent collisions th...

0 Matthias Brucker, et al. ∙

∙ 12/01/2022

maplab 2.0 – A Modular and Multi-Modal Mapping Framework

Integration of multiple sensor modalities and deep learning into Simulta...

0 Andrei Cramariuc, et al. ∙

∙ 03/01/2022

Descriptellation: Deep Learned Constellation Descriptors for SLAM

Current global localization descriptors in Simultaneous Localization and...

0 Chunwei Xing, et al. ∙

∙ 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...

0 Stefan Lionar, et al. ∙

∙ 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...

0 Yunke Ao, et al. ∙

∙ 07/30/2021

SemSegMap- 3D Segment-Based Semantic Localization

Localization is an essential task for mobile autonomous robotic systems ...

0 Andrei Cramariuc, et al. ∙

∙ 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...

0 Jiapeng Zhong, et al. ∙

∙ 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,...

0 Patrick Pfreundschuh, et al. ∙

∙ 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...

0 Florian Tschopp, et al. ∙

∙ 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...

0 Le Chen, et al. ∙

∙ 08/29/2020

Driving Through Ghosts: Behavioral Cloning with False Positives

Safe autonomous driving requires robust detection of other traffic parti...

11 Andreas Bühler, et al. ∙

∙ 05/24/2020

Learning Camera Miscalibration Detection

Self-diagnosis and self-repair are some of the key challenges in deployi...

11 Andrei Cramariuc, et al. ∙

∙ 04/02/2020

Go Fetch: Mobile Manipulation in Unstructured Environments

With humankind facing new and increasingly large-scale challenges in the...

0 Kenneth Blomqvist, et al. ∙

∙ 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...

6 Renaud Dubé, et al. ∙

∙ 04/25/2018

SegMap: 3D Segment Mapping using Data-Driven Descriptors

When performing localization and mapping, working at the level of struct...

2 Renaud Dubé, et al. ∙

∙ 04/24/2018

Learning 3D Segment Descriptors for Place Recognition

In the absence of global positioning information, place recognition is a...

0 Andrei Cramariuc, et al. ∙

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