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20202026
most citedReal-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization

12 citations · 13 across the 5 of their papers we have counts for

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5 papers · 1 filter

cs.RO2026

Multi-Staged Framework for Safety Analysis of Offloaded Services in Distributed Intelligent Transportation Systems

Robin Dehler, Oliver Schumann, Jona Ruof +1

The integration of service-oriented architectures (SOA) with function offloading for distributed, intelligent transportation systems (ITS) offers the opportunity for connected auto…

cs.RO2024★ 1 cited

Fast Long-Term Multi-Scenario Prediction for Maneuver Planning at Unsignalized Intersections

Max Bastian Mertens, Jona Ruof, Jan Strohbeck +1

Motion prediction for intelligent vehicles typically focuses on estimating the most probable future evolutions of a traffic scenario. Estimating the gap acceptance, i.e., whether a…

cs.RO2023★ 12 cited

Real-Time Spatial Trajectory Planning for Urban Environments Using Dynamic Optimization

Jona Ruof, Max Bastian Mertens, Michael Buchholz +1

Planning trajectories for automated vehicles in urban environments requires methods with high generality, long planning horizons, and fast update rates. Using a path-velocity decom…

cs.RO2021

Graph-based Motion Planning for Automated Vehicles using Multi-model Branching and Admissible Heuristics

Oliver Speidel, Jona Ruof, Klaus Dietmayer

Automated driving in urban scenarios requires efficient planning algorithms able to handle complex situations in real-time. A popular approach is to use graph-based planning method…

cs.RO2020

On-Road Motion Planning for Automated Vehicles at Ulm University

Maximilian Graf, Oliver Speidel, Jona Ruof +1

The Institute of Measurement, Control and Microtechnology at Ulm University investigates advanced driver assistance systems for decades and concentrates in large parts on autonomou…