1 citations · 1 across the 6 of their papers we have counts for
6 papers
Multi-View In-Cabin Monitoring System for Public Transport Vehicles
Evgeny Gorelik, Kenny Dean Karrow, Fikret Sivrikaya +2
We introduce a multi-view in-cabin monitoring dataset for public transportation with synchronized RGB and depth images from four inward-facing cameras and a rotating LiDAR covering…
SAGE: Tool-Augmented LLM Task Solving Strategies in Scalable Multi-Agent Environments
Robert K. Strehlow, Tobias Küster, Oskar F. Kupke +3
Large language models (LLMs) have proven to work well in question-answering scenarios, but real-world applications often require access to tools for live information or actuation.…
Streamlining the Development of Active Learning Methods in Real-World Object Detection
Moussa Kassem Sbeyti, Nadja Klein, Michelle Karg +2
Active learning (AL) for real-world object detection faces computational and reliability challenges that limit practical deployment. Developing new AL methods requires training mul…
APR-Transformer: Initial Pose Estimation for Localization in Complex Environments through Absolute Pose Regression
Srinivas Ravuri, Yuan Xu, Martin Ludwig Zehetner +2
Precise initialization plays a critical role in the performance of localization algorithms, especially in the context of robotics, autonomous driving, and computer vision. Poor loc…
Cost-Sensitive Uncertainty-Based Failure Recognition for Object Detection
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth +2
Object detectors in real-world applications often fail to detect objects due to varying factors such as weather conditions and noisy input. Therefore, a process that mitigates fals…
Overcoming the Limitations of Localization Uncertainty: Efficient & Exact Non-Linear Post-Processing and Calibration
Moussa Kassem Sbeyti, Michelle Karg, Christian Wirth +2
Robustly and accurately localizing objects in real-world environments can be challenging due to noisy data, hardware limitations, and the inherent randomness of physical systems. T…