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Autonomous Cargo Bike Fleets – Approaches for AI-Based Trajectory Forecasts of Road Users

Automated cargo bikes are intended to complement public transportation in a sharing concept and provide an alternative transportation option for people and goods. In highly automated driving without a seated user, real-time trajectory prediction of other road users is crucial for collision avoidance...

Ausführliche Beschreibung

Gespeichert in:
Hauptverfasser: Sass Stefan, Höfer Markus, Schmidt Michael, Schmidt Stephan
Format: Artigo
Sprache:Inglês
Veröffentlicht: Sciendo 2023-02-01
Schriftenreihe:Transport and Telecommunication
Schlagworte:
autonomous driving
cargo bike
urban mobility
trajectory prediction
neural networks
deep learning
Online-Zugang:https://doi.org/10.2478/ttj-2023-0006
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