Improved real-time visual servo system by combining Xenomai with Linux system

Chen, Wei; Jing, Zhongya

doi:10.1109/icamechs57222.2022.10003304

Cited by 1 publication

(1 citation statement)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In particular, to meet Real-Time (RT) deadlines, in [100], Delgado et al achieved an RT control system based on Xenomai, an RT-embedded Linux, to overcome issues concerning the communication interface between RT and NRT (Non-Real-Time) tasks. In [101], the improved RT visual servo system is also combined with Xenomai. In [102], aiming at the requirements of multi-channel, low-power consumption, and small volume for receiver extension of ornaments of multichannel, low-power consumption of the system, a multi-channel signal acquisition and storage system based on FPGA and STM32 with a heterogeneous system of working channels and the sampling frequency is designed.…”

Section: Visual-guided Landingmentioning

confidence: 99%

Heterogeneous Flight Management System (FMS) Design for Unmanned Aerial Vehicles (UAVs): Current Stages, Challenges, and Opportunities

Wang

et al. 2023

Drones

View full text Add to dashboard Cite

In the Machine Learning (ML) era, faced with challenges, including exponential multi-sensor data, an increasing number of actuators, and data-intensive algorithms, the development of Unmanned Aerial Vehicles (UAVs) is standing on a new footing. In particular, the Flight Management System (FMS) plays an essential role in UAV design. However, the trade-offs between performance and SWaP-C (Size, Weight, Power, and Cost) and reliability–efficiency are challenging to determine for such a complex system. To address these issues, the identification of a successful approach to managing heterogeneity emerges as the critical question to be answered. This paper investigates Heterogeneous Computing (HC) integration in FMS in the UAV domain from academia to industry. The overview of cross-layer FMS design is firstly described from top–down in the abstraction layer to left–right in the figurative layer. In addition, the HC advantages from Light-ML, accelerated Federated Learning (FL), and hardware accelerators are highlighted. Accordingly, three distinct research focuses detailed with visual-guided landing, intelligent Fault Diagnosis and Detection (FDD), and controller-embeddable Power Electronics (PE) to distinctly illustrate advancements of the next-generation FMS design from sensing, and computing, to driving. Finally, recommendations for future research and opportunities are discussed. In summary, this article draws a road map that considers the heterogeneous advantages to conducting the Flight-Management-as-a-Service (FMaaS) platform for UAVs.

show abstract

Section: Visual-guided Landingmentioning

confidence: 99%

Heterogeneous Flight Management System (FMS) Design for Unmanned Aerial Vehicles (UAVs): Current Stages, Challenges, and Opportunities

Wang

et al. 2023

Drones

View full text Add to dashboard Cite

show abstract

Improved real-time visual servo system by combining Xenomai with Linux system

Cited by 1 publication

References 11 publications

Heterogeneous Flight Management System (FMS) Design for Unmanned Aerial Vehicles (UAVs): Current Stages, Challenges, and Opportunities

Heterogeneous Flight Management System (FMS) Design for Unmanned Aerial Vehicles (UAVs): Current Stages, Challenges, and Opportunities

Contact Info

Product

Resources

About