24 citations · 88 across the 15 of their papers we have counts for
10 papers · 1 filter
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…