24 citations · 88 across the 15 of their papers we have counts for
16 papers
What and Where in Identifying and Quantifying Conventions in Humans and AI Agents
Makoto Fukushima, Tim Puphal
Cooperative success rests in part on implicit communication. Partners converge on conventions: regularities that give an action meaning beyond its direct effect. Yet conventions ar…
Risk-Based Filtering of Valuable Driving Situations in the Waymo Open Motion Dataset
Tim Puphal, Vipul Ramtekkar, Kenji Nishimiya
Improving automated vehicle software requires driving data rich in valuable road user interactions. In this paper, we propose a risk-based filtering approach that helps identify su…
Finding the Easy Way Through -- the Probabilistic Gap Planner for Social Robot Navigation
Malte Probst, Raphael Wenzel, Tim Puphal +4
In Social Robot Navigation, autonomous agents need to resolve many sequential interactions with other agents. State-of-the art planners can efficiently resolve the next, imminent i…
Probabilistic Collision Risk Estimation for Pedestrian Navigation
Amine Tourki, Paul Prevel, Nils Einecke +2
Intelligent devices for supporting persons with vision impairment are becoming more widespread, but they are lacking behind the advancements in intelligent driver assistant system.…
Human-Based Risk Model for Improved Driver Support in Interactive Driving Scenarios
Tim Puphal, Benedict Flade, Matti Krüger +2
This paper addresses the problem of human-based driver support. Nowadays, driver support systems help users to operate safely in many driving situations. Nevertheless, these system…
Reducing Warning Errors in Driver Support with Personalized Risk Maps
Tim Puphal, Ryohei Hirano, Takayuki Kawabuchi +2
We consider the problem of human-focused driver support. State-of-the-art personalization concepts allow to estimate parameters for vehicle control systems or driver models. Howeve…
Introducing Risk Shadowing For Decisive and Comfortable Behavior Planning
Tim Puphal, Julian Eggert
We consider the problem of group interactions in urban driving. State-of-the-art behavior planners for self-driving cars mostly consider each single agent-to-agent interaction sepa…
Considering Human Factors in Risk Maps for Robust and Foresighted Driver Warning
Tim Puphal, Ryohei Hirano, Malte Probst +2
Driver support systems that include human states in the support process is an active research field. Many recent approaches allow, for example, to sense the driver's drowsiness or…
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…
Continuous Risk Measures for Driving Support
Julian Eggert, Tim Puphal
In this paper, we compare three different model-based risk measures by evaluating their stengths and weaknesses qualitatively and testing them quantitatively on a set of real longi…
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…
Probabilistic Uncertainty-Aware Risk Spot Detector for Naturalistic Driving
Tim Puphal, Malte Probst, Julian Eggert
Risk assessment is a central element for the development and validation of Autonomous Vehicles (AV). It comprises a combination of occurrence probability and severity of future cri…
Optimization of Velocity Ramps with Survival Analysis for Intersection Merge-Ins
Tim Puphal, Malte Probst, Yiyang Li +2
We consider the problem of correct motion planning for T-intersection merge-ins of arbitrary geometry and vehicle density. A merge-in support system has to estimate the chances tha…
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…