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...

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Detalhes bibliográficos

Principais autores:	Sass Stefan, Höfer Markus, Schmidt Michael, Schmidt Stephan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Sciendo 2023-02-01
coleção:	Transport and Telecommunication
Assuntos:	autonomous driving cargo bike urban mobility trajectory prediction neural networks deep learning
Acesso em linha:	https://doi.org/10.2478/ttj-2023-0006
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