AutoKoWaT

AutoKoWaT (Innovative Photonics for Autonomous Collaborative Systems in Dynamic Good Transportation Processes) focuses on the development of photonic components, applying sensors and artificial intelligence to self-driving transport systems to solve a wide range of logistics tasks in complex, dynamic situations, either alone or in a swarm. The project is funded by the Federal Ministry of Education and Research of Germany (BMBF) (grant no.~13N16336) and is planned with a project duration of 3 years (2022 - 2025).

Fine-grained gaze estimation based on the combination of regression and classification losses

September 03, 2024

We present our recent work on gaze estimation. Our approach is a novel two-branch CNN architecture with a multi-loss approach...

Towards efficient and robust face recognition through attention-integrated multi-level CNN

May 26, 2024

RobFaceNet is a robust and efficient CNN designed for face recognition, achieving a balance between high accuracy and computational efficiency...

Exploring the State of the Art in Visual SLAM for Robotics

April 11, 2024

Recent advancements in Visual Simultaneous Localization and Mapping (V-SLAM) technologies have significantly enhanced the capabilities of robotic systems. Our latest...

(TIP24) Approaching unrestricted and full rotation head pose estimation!

March 21, 2024

We are delighted to share our newest publication in the IEEE Transaction on Image Processing. In this paper, we tackle...

AutoKoWaT Milestone-Meeting at ZBS in Ilmenau

February 07, 2024

The AutoKoWaT project team met at the Zentrum für Bild und Signalverarbeitung (ZBS) in Ilmenau for a milestone meeting reinforcing...

(WACV24) Our Research Work Reaches Hawaii!

January 06, 2024

Our recent research on eye contact detection for human-robot interaction was accepted by WACV24 and presented at the conference in...

Project Meeting at LUCAS in Jena

October 09, 2023

On October 9, 2023, the project partners from ZBS, MartinMechanic, LUCAS, and OVGU convened in Jena.

(ISC23) On contextual perception of workers in complex production environments

September 08, 2023

We present our recent work on contextual perception in complex production environments at the 60th Ilmenau Scientific Colloquium 08 September...

(VISAPP23) Sentiment-based Engagement Strategies for intuitive Human-Robot Interaction

March 06, 2023

I present our recent work on sentiment-based engagement strategies for mobile robots at VISAPP2023 in Lissabon, Portugal.