Institut für Kartographie und Geoinformatik

Detection of anomalous vehicle trajectories using federated learning

Präsentationen

Hao Cheng, ITSC 2020, "MCENET: Multi-Context Encoder Network for Homogeneous Agent Trajectory Prediction in Mixed Traffic"

Hao Cheng, IV 2020, "Automatic Interaction Detection Between Vehicles and Vulnerable Road Uers During Turning at an Intersection"

Hao Cheng, ICRA 2021, "Exploring Dynamic Context for Multi-path Trajectory Prediction"

Yu Feng, ISPRS congress 2020, "Multi-scale building maps from aerial imagery"

Stefan Fuest, AutoCarto 2020, "Evaluating different cartographic design variants for visually communicating route efficiency"

Anna Malinovskaya, Statistics 2021, "Statistical learning for change point and anomaly detection in graphs"

Oskar Wage, ISPRS 2021, "Joint estimation of road roughness from crowd-sourced bicycle accelaration measurements"

Jeldrik Axmann, ISPRS 2021, "Maximum Consensus Localization using LiDAR Sensors"

Letzte Änderung: 12.09.22 Druckversion