Search Results for author: Achim J. Lilienthal

Found 7 papers, 4 papers with code

High-Fidelity SLAM Using Gaussian Splatting with Rendering-Guided Densification and Regularized Optimization

no code implementations19 Mar 2024 Shuo Sun, Malcolm Mielle, Achim J. Lilienthal, Martin Magnusson

We propose a dense RGBD SLAM system based on 3D Gaussian Splatting that provides metrically accurate pose tracking and visually realistic reconstruction.

Pose Tracking

Learning Occupancy Priors of Human Motion from Semantic Maps of Urban Environments

no code implementations17 Feb 2021 Andrey Rudenko, Luigi Palmieri, Johannes Doellinger, Achim J. Lilienthal, Kai O. Arras

Understanding and anticipating human activity is an important capability for intelligent systems in mobile robotics, autonomous driving, and video surveillance.

Autonomous Driving Robotics

Robust Frequency-Based Structure Extraction

1 code implementation19 Apr 2020 Tomasz Piotr Kucner, Stephanie Lowry, Martin Magnusson, Achim J. Lilienthal

Our experiments demonstrate that (1) the application of ROSE for decluttering can substantially improve structural feature retrieval (e. g., walls) in cluttered environments, (2) ROSE can successfully distinguish between clutter and structure in the map even with substantial amount of noise and (3) ROSE can numerically assess the amount of structure in the map.

Robotics Functional Analysis

Current Trends in the Use of Eye Tracking in Mathematics Education Research: A PME Survey

no code implementations26 Apr 2019 Achim J. Lilienthal, Maike Schindler

Eye tracking (ET) is a research method that receives growing interest in mathematics education research (MER).

A method to segment maps from different modalities using free space layout -- MAORIS : MAp Of RIpples Segmentation

1 code implementation28 Sep 2017 Malcolm Mielle, Martin Magnusson, Achim J. Lilienthal

We present a method for segmenting maps from different modalities, focusing on robot built maps and hand-drawn sketch maps, and show better results than state of the art for both types.

Robotics

SLAM auto-complete: completing a robot map using an emergency map

1 code implementation16 Feb 2017 Malcolm Mielle, Martin Magnusson, Henrik Andreasson, Achim J. Lilienthal

Experiments in an office environment show that we can handle up to 70% of wrong correspondences and still get the expected result.

Robotics

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