Social Organisation of Mobile Sensors for Wildfire Spread Estimation
نویسندگان
چکیده
منابع مشابه
Optimal Cooperative Control of Mobile Sensors for Dynamic Process Estimation
A typical mission for robotic systems in environmental monitoring is the identification of dynamic processes like atmospheric dispersion by a group of mobile sensors. Due to this problem’s large-scale and highly dynamic character, an efficient cooperative sampling strategy is required. This paper presents a mathematical concept for estimating the parameters of a Gaussian puff model of the dispe...
متن کاملDelay Spread Estimation For OFDM Based Mobile Communication Systems
In this paper we present a new channel delay spread estimator for OFDM based communication systems. The estimator operates in a wide range of channel delay spreads and mobile users velocities (0−360 km/h). The estimated value can be taken to select filters on the actual channel state, for instance two-dimensional (2D) Wiener filters. The estimator is based on a decision feedback signal, which i...
متن کاملAdaptive Contour Estimation Using Collaborating Mobile Sensors
Many real life applications such as tracking of pollutant flows, studying plankton populations in lakes, monitoring ocean currents etc. require real-time detection and tracking of level sets in a dynamic(spatio-temporal) field. In this paper, we examine the problem of estimating a level set or a contour of a particular value within a bounded region of varying field values using a network of mob...
متن کاملEstimation of new ignited fires using particle filters in wildfire spread simulation
Assimilating real time data into wildfire spread simulations has the potential to improve simulation results of wildfires, which are complex and dynamic in nature. Our previous work developed a data assimilation method based on particle filters (PF) to estimate the state of a wildfire. This method, however, does not work effectively when there are significant events, such as new ignited fires, ...
متن کاملDynamic Data Driven Application System for Wildfire Spread Simulation
Wildfires have significant impact on both ecosystems and human society. To effectively manage wildfires, simulation models are used to study and predict wildfire spread. The accuracy of wildfire spread simulations depends on many factors, including GIS data, fuel data, weather data, and high-fidelity wildfire behavior models. Unfortunately, due to the dynamic and complex nature of wildfire, it ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IFAC-PapersOnLine
سال: 2020
ISSN: 2405-8963
DOI: 10.1016/j.ifacol.2020.12.2545