Lars Ohnemus

According to our database, Lars Ohnemus authored at least 11 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

FOGMACHINE - Leveraging Discrete-Event Simulation and Scene Graphs for Modeling Hierarchical, Interconnected Environments under Partial Observations from Mobile Agents.

Lars Ohnemus, Nils Hantke, Max Weißer, Kai Furmans

CoRR, October, 2025

ARK-V1: An LLM-Agent for Knowledge Graph Question Answering Requiring Commonsense Reasoning.

Jan-Felix Klein, Lars Ohnemus

CoRR, September, 2025

A Comparative Analysis of Multi-Modal Semantic Perception Tasks and Datasets for Mobile Robotics.

Lars Ohnemus, Hao Pang, Lei Zhou, Lukas Müller, Kai Furmans

Proceedings of the 21st IEEE International Conference on Automation Science and Engineering, 2025

2024

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Create Object Representations for Providently Detecting Vehicles at Night.

Lukas Ewecker, Lars Ohnemus, Robin Schwager, Stefan Roos, Tim Brühl, Sascha Saralajew

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Design and Real-World Application of a Flexible Mobile Robot System for Urban Logistics.

Lukas Müller, Hao Pang, Lars Ohnemus, Maximilian Winter, Kai Furmans

Proceedings of the 29th IEEE International Conference on Emerging Technologies and Factory Automation, 2024

2023

Provident vehicle detection at night for advanced driver assistance systems.

Lukas Ewecker, Ebubekir Asan, Lars Ohnemus, Sascha Saralajew

Auton. Robots, March, 2023

2022

Combining Visual Saliency Methods and Sparse Keypoint Annotations to Providently Detect Vehicles at Night.

Lukas Ewecker, Lars Ohnemus, Robin Schwager, Stefan Roos, Sascha Saralajew

CoRR, 2022

2021

A Dataset for Provident Vehicle Detection at Night.

Sascha Saralajew, Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Simon T. Isele, Stefan Roos

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020

Provident Vehicle Detection at Night: The PVDN Dataset.

Lars Ohnemus, Lukas Ewecker, Ebubekir Asan, Stefan Roos, Simon T. Isele, Jakob Ketterer, Leopold Müller, Sascha Saralajew

CoRR, 2020

The Autonomous Racing Software Stack of the KIT19d.

Sherif Nekkah, Josua Janus, Mario Boxheimer, Lars Ohnemus, Stefan Hirsch, Benjamin Schmidt, Yuchen Liu, David Borbély, Florian Keck, Katharina Bachmann, Lukasz Bleszynski

CoRR, 2020

Provident Detection of Vehicles at Night.

Emilio Oldenziel, Lars Ohnemus, Sascha Saralajew

Proceedings of the IEEE Intelligent Vehicles Symposium, 2020