activity
20202022
most citedGlobally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions

10 citations · 10 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CV2022

Transformers for Object Detection in Large Point Clouds

Felicia Ruppel, Florian Faion, Claudius Gläser +1

We present TransLPC, a novel detection model for large point clouds that is based on a transformer architecture. While object detection with transformers has been an active field o…

cs.RO202210 cited

Globally Optimal Multi-Scale Monocular Hand-Eye Calibration Using Dual Quaternions

Thomas Wodtko, Markus Horn, Michael Buchholz +1

In this work, we present an approach for monocular hand-eye calibration from per-sensor ego-motion based on dual quaternions. Due to non-metrically scaled translations of monocular…

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…

cs.RO2020

Trajectory Planning for Automated Driving in Intersection Scenarios using Driver Models

Oliver Speidel, Maximilian Graf, Ankit Kaushik +3

Efficient trajectory planning for urban intersections is currently one of the most challenging tasks for an Autonomous Vehicle (AV). Courteous behavior towards other traffic partic…