Model predictive trajectory control for automated driving of a spherical electrical drive

Göllner, Marian; Zhang, Jie; Liu-Henke, Xiaobo

doi:10.1109/syseng.2018.8544421

Cited by 4 publications

(1 citation statement)

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“…The trajectory found in this way is transferred to the underlying model predictive trajectory control, presented e.g. in [18] and [19]. It works cascaded and transfers its setpoints to subordinate dynamic controllers, which influence the system and thus let it follow the calculated trajectory.…”

Section: Trajectory Planningmentioning

confidence: 99%

Modular Platform for Route Guidance in the Cyber-Physical Laboratory Test

Göllner¹,

Jacobitz²,

Li³

et al. 2023

SNE

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This paper presents a domain-specific configurable, modular platform for route guidance and trajectory planning (doplar) of intelligent vehicles in different cyber-physical traffic systems, which can be used in projects of different domains. Due to its modular structure, this platform can be used both in road traffic and in the context of Industry 4.0 or Smart Home applications. The big advantage of this platform is that core modules such as the route guidance can be retained and only individual modules, e.g. for wireless communication, must be adjusted. The goal of the entire platform is to plan an optimized vehicle operation according travel time and energy consumption, incorporating dynamic environmental data available from wireless communication within the cyber-physical transport system.

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Section: Trajectory Planningmentioning

confidence: 99%