176 citations
- Bielefeld UniversityDE3 papers
- Honda (Japan)JP3 papers
- Technische Universität DarmstadtDE3 papers
- Eindhoven University of TechnologyNL1 paper
- Marche Polytechnic UniversityIT1 paper
- Palacký University OlomoucCZ1 paper
- Technical University of Applied Sciences Würzburg-SchweinfurtDE1 paper
- University of BremenDE1 paper
- University of WaterlooCA1 paper
6 papers · 1 filter
LaMI: Large Language Models for Multi-Modal Human-Robot Interaction
Chao Wang, Stephan Hasler, Daniel Tanneberg +5
This paper presents an innovative large language model (LLM)-based robotic system for enhancing multi-modal human-robot interaction (HRI). Traditional HRI systems relied on complex…
Online and Predictive Warning System for Forced Lane Changes using Risk Maps
Tim Puphal, Benedict Flade, Malte Probst +3
The survival analysis of driving trajectories allows for holistic evaluations of car-related risks caused by collisions or curvy roads. This analysis has advantages over common Tim…
Comfortable Priority Handling with Predictive Velocity Optimization for Intersection Crossings
Tim Puphal, Malte Probst, Misa Komuro +2
We address the problem of motion planning for four-way intersection crossings with right-of-ways. Road safety typically assigns liability to the follower in rear-end collisions and…
Proactive Risk Navigation System for Real-World Urban Intersections
Tim Puphal, Benedict Flade, Daan de Geus +1
We consider the problem of intelligently navigating through complex traffic. Urban situations are defined by the underlying map structure and special regulatory objects of e.g. a s…
Intersection Warning System for Occlusion Risks using Relational Local Dynamic Maps
Florian Damerow, Yuda Li, Tim Puphal +2
This work addresses the task of risk evaluation in traffic scenarios with limited observability due to restricted sensorial coverage. Here, we concentrate on intersection scenarios…
Importance Filtering with Risk Models for Complex Driving Situations
Tim Puphal, Raphael Wenzel, Benedict Flade +2
Self-driving cars face complex driving situations with a large amount of agents when moving in crowded cities. However, some of the agents are actually not influencing the behavior…