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20172023
most citedSCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

61 citations · 210 across the 29 of their papers we have counts for

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21 papers · 1 filter

cs.RO2023

User Feedback and Sample Weighting for Ill-Conditioned Hand-Eye Calibration

Markus Horn, Thomas Wodtko, Michael Buchholz +1

Hand-eye calibration is an important and extensively researched method for calibrating rigidly coupled sensors, solely based on estimates of their motion. Due to the geometric stru…

cs.RO2023

Joint Out-of-Distribution Detection and Uncertainty Estimation for Trajectory Prediction

Julian Wiederer, Julian Schmidt, Ulrich Kressel +2

Despite the significant research efforts on trajectory prediction for automated driving, limited work exists on assessing the prediction reliability. To address this limitation we…

cs.RO2023

Advancing Frame-Dropping in Multi-Object Tracking-by-Detection Systems Through Event-Based Detection Triggering

Matti Henning, Michael Buchholz, Klaus Dietmayer

With rising computational requirements modern automated vehicles (AVs) often consider trade-offs between energy consumption and perception performance, potentially jeopardizing the…

cs.RO2023★ 1 cited

The Impact of Frame-Dropping on Performance and Energy Consumption for Multi-Object Tracking

Matti Henning, Michael Buchholz, Klaus Dietmayer

The safety of automated vehicles (AVs) relies on the representation of their environment. Consequently, state-of-the-art AVs employ potent sensor systems to achieve the best possib…

cs.RO2022

A Benchmark for Unsupervised Anomaly Detection in Multi-Agent Trajectories

Julian Wiederer, Julian Schmidt, Ulrich Kressel +2

Human intuition allows to detect abnormal driving scenarios in situations they never experienced before. Like humans detect those abnormal situations and take countermeasures to pr…

cs.RO2022★ 1 cited

A Multi-Task Recurrent Neural Network for End-to-End Dynamic Occupancy Grid Mapping

Marcel Schreiber, Vasileios Belagiannis, Claudius Gläser +1

A common approach for modeling the environment of an autonomous vehicle are dynamic occupancy grid maps, in which the surrounding is divided into cells, each containing the occupan…