کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
11023973 | 1701204 | 2018 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Analysis of cooperative localisation performance under varying sensor qualities and communication rates
ترجمه فارسی عنوان
تجزیه و تحلیل عملکرد محلی سازی مشاغل تحت کیفیت مختلف حسگر و نرخ ارتباطات
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کلمات کلیدی
محلی سازی تعاونی، چند ربات، تجزیه و تحلیل عملکرد، فیلتر کلمن،
موضوعات مرتبط
مهندسی و علوم پایه
مهندسی کامپیوتر
هوش مصنوعی
چکیده انگلیسی
Cooperative Localisation (CL) is a robust technique used to improve localisation accuracy in multi-robot systems. However, there is a lack of research on how CL performs under different conditions. It is unclear when CL is worthwhile, and how CL performance is affected if the system changes. This information is particularly important for systems with robots that have limited power and processing, which cannot afford to constantly perform CL. This paper investigates CL under varying sensor qualities (position accuracy, yaw accuracy, sample rate), communication rates, and number of robots for both homogeneous and heterogeneous multi-robot systems. Trends are found in MATLAB simulations using the UTIAS dataset, and then validated on Kobuki robots using an OptiTrack-based system. We find that yaw accuracy has a substantial effect on performance, a communication rate that is too fast can be detrimental, and heterogeneous systems are greater candidates for cooperative localisation than homogeneous systems.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Robotics and Autonomous Systems - Volume 110, December 2018, Pages 73-84
Journal: Robotics and Autonomous Systems - Volume 110, December 2018, Pages 73-84
نویسندگان
Nick Sullivan, Steven Grainger, Ben Cazzolato,