10 papers
GraphPilot: Grounded Scene Graph Conditioning for Language-Based Autonomous Driving
Fabian Schmidt, Markus Enzweiler, Abhinav Valada
Vision-language models have recently emerged as promising planners for autonomous driving, where success hinges on topology-aware reasoning over spatial structure and dynamic inter…
Sensor Configuration Matters: A Systematic Evaluation of Multimodal SLAM on Quadruped Robots
Roberto Corlito, Fabian Schmidt, Nils Seibert +3
Autonomous navigation of quadrupedal robots in diverse environments fundamentally relies on resilient Simultaneous Localization and Mapping (SLAM). While visual-inertial SLAM has m…
A Systematic Literature Review on Detecting Software Vulnerabilities with Large Language Models
Sabrina Kaniewski, Fabian Schmidt, Markus Enzweiler +2
The increasing adoption of Large Language Models (LLMs) in software engineering has sparked interest in their use for software vulnerability detection. However, the rapid developme…
Enhancing LLM-based Autonomous Driving with Modular Traffic Light and Sign Recognition
Fabian Schmidt, Noushiq Mohammed Kayilan Abdul Nazar, Markus Enzweiler +1
Large Language Models (LLMs) are increasingly used for decision-making and planning in autonomous driving, showing promising reasoning capabilities and potential to generalize acro…
Integration of Visual SLAM into Consumer-Grade Automotive Localization
Luis Diener, Jens Kalkkuhl, Markus Enzweiler
Accurate ego-motion estimation in consumer-grade vehicles currently relies on proprioceptive sensors, i.e. wheel odometry and IMUs, whose performance is limited by systematic error…
Radar-Based Odometry for Low-Speed Driving
Luis Diener, Jens Kalkkuhl, Markus Enzweiler
We address automotive odometry for low-speed driving and parking, where centimeter-level accuracy is required due to tight spaces and nearby obstacles. Traditional methods using in…