Titlebook: Commercial Vehicle Technology 2020/2021; Proceedings of the 6 Karsten Berns,Klaus Dressler,Martin Thul Conference proceedings 2021 Der/die

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書目名稱Commercial Vehicle Technology 2020/2021影響因子(影響力)




書目名稱Commercial Vehicle Technology 2020/2021影響因子(影響力)學(xué)科排名




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書目名稱Commercial Vehicle Technology 2020/2021網(wǎng)絡(luò)公開度學(xué)科排名




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書目名稱Commercial Vehicle Technology 2020/2021被引頻次學(xué)科排名




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書目名稱Commercial Vehicle Technology 2020/2021年度引用學(xué)科排名




書目名稱Commercial Vehicle Technology 2020/2021讀者反饋




書目名稱Commercial Vehicle Technology 2020/2021讀者反饋學(xué)科排名

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Extending Skills of Autonomous Off-Road Robots on the Example of Behavior-Based Edge Compaction in aality and productivity, the functionality of autonomous agents has to be continuously extended to achieve robust navigation and task-related skills. Unfortunately, the complexity of autonomous systems increases strongly along with their increasing number of application areas, while the overall maint

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Model Predictive Control for Combine Harvesters using Geospatial Dataayed sensing. The controller presented in this work pro-actively reacts to varying field conditions by using geospatial information derived before the crop is sensed inside the machine. For example, this information may consist of yield or crop height estimates. A model predictive control algorithm

LAY

Landwirtschaftliche Schwarmeinheit mit integriertem Energieverteilungssystemwird die Elektrifizierung der Landtechnik zukünftig in den Mittelpunkt der Forschungst?tigkeiten rücken. Die Problematik der geringen Einsatzzeit batterieelektrischer Fahrzeuge bei einem für landwirtschaftliche Arbeitsmaschinen üblichen Leistungsbedarf wurde mit dem Projekt GridCON [2] adressiert. D

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Modeling of Operational Aspects for the Autonomous Vehicle Development. In particular, the utilization phase of the systems must be considered closely, since the dynamic, operative context manifests itself only within utilization. Additionally, when considering involved sensors and actors for the utilization of functions of Advanced Driver Assistance Systems (ADAS) fo

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A driver-in-the-loop co-simulation framework for testing predictive EDAS for commercial vehicles in ools must be combined. In this paper, a driver-in-the-loop co-simulation framework for testing predictive eco-driving assistance systems (EDAS) for commercial vehicles in urban environments is proposed. The co-simulation is performed by exchanging information between IPG TruckMaker, a vehicle simula

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