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).

Accurate Projector-Camera-Calibration from Structured Light Dot Patterns via Subpixel Plane Reconstruction

November 15, 2025

An accurate projector-camera calibration method using structured light dot patterns with subpixel plane reconstruction for high-precision 3D measurement.

Automating Synthetic Dataset Generation for Image-based 3D Detection: A Literature Review

October 19, 2025

A comprehensive review of synthetic dataset generation approaches for 3D object detection, covering both traditional 3D modeling and neural image...

Automated 3D Dataset Generation for Arbitrary Objects

October 10, 2025

An end-to-end pipeline that automates all aspects of 3D dataset generation by leveraging Radiance Fields for high-quality 3D modeling and...

MobGazeNet: Robust Gaze Estimation Mobile Network Based on Progressive Attention Mechanisms

May 09, 2025

An efficient and lightweight network for gaze estimation that leverages progressive attention mechanisms to emphasize crucial eye features while maintaining...

Multi-Head Attention-Based Framework with Residual Network for Human Action Recognition

May 06, 2025

An efficient deep learning framework for human action recognition that integrates ResNet-18 for spatial feature extraction, Bi-LSTM for temporal modeling,...

IM HERE – Interaction Model for Human Effort based Robot Engagement

April 29, 2025

We present our novel engagement modeling framework IMHERE, designed to improve human-robot interaction by capturing relational dynamics using a formal...

Toward Truly Intelligent Autonomous Systems A Taxonomy of LLM Integration for Everyday Automation

April 28, 2025

With the rapid development of large language models (LLMs), their integration into autonomous systems has become essential. This integration significantly...

Eye Contact Based Engagement Prediction for Efficient Human-Robot Interaction

April 28, 2025

We introduce a new approach to predict human engagement in human-robot interactions (HRI), focusing on eye contact and distance information....

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.