4 papers
Generative Texture Diversification of 3D Pedestrians for Robust Autonomous Driving Perception
Arka Bhowmick, Enes Ozeren, Ahmed Abdullah +1
In recent years, autonomous driving has significantly in creased the demand for high-quality data to train 2D and 3D perception models for safety-critical scenarios. Real world dat…
Reinforcement Learning for Latent-Space Thinking in LLMs
Enes Ãzeren, Matthias AÃenmacher
Chain-of-Thought (CoT) reasoning typically utilizes the discrete language space for thinking, which is inherently inefficient, as many generated tokens only enforce linguistic rule…
Enhancing Traffic Accident Classifications: Application of NLP Methods for City Safety
Enes Ãzeren, Alexander Ulbrich, Sascha Filimon +2
A comprehensive understanding of traffic accidents is essential for improving city safety and informing policy decisions. In this study, we analyze traffic incidents in Munich to i…
Evaluating the Impact of Synthetic Data on Object Detection Tasks in Autonomous Driving
Enes Ãzeren, Arka Bhowmick
The increasing applications of autonomous driving systems necessitates large-scale, high-quality datasets to ensure robust performance across diverse scenarios. Synthetic data has…