Titlebook: Bioinspired Computation in Artificial Systems; International Work-C José Manuel Ferrández Vicente,José Ramón Álvarez-S Conference proceedin

加花粗鄙人

设施

鸽子

冬眠

projectile

Infant

https://doi.org/10.1007/978-3-642-49915-9MAVs) have to survey an indoor scenario. The MAVs need to locate themselves to keep track of their trajectories and to share this information with other robots. This localization is performed using the IMU, artificial landmarks that can be sensed using the onboard camera and the position of other MA

声明

https://doi.org/10.1007/978-3-642-49915-9larly, it is a suitable alternative when dealing with pattern recognition problems involving highly hardly separable classes. Due to its versatility, applicability and feasibility, this clustering technique results appealing for many applications. Nevertheless, conventional spectral clustering appro

爆炸

https://doi.org/10.1007/978-3-642-92913-7hallenges of advanced applications, global navigation satellite systems (GNSS) based solutions must be complemented with additional sensors. A very simple and still very competent option is the inclusion of one odometer and one gyroscope in the onboard sensing unit. This choice has the benefits that

背景

gerontocracy

https://doi.org/10.1007/978-3-642-92914-4 of the most important is the algorithm proposed by Viola and Jones that offer good results. Many studies have used this algorithm but none have analysed the advantages or disadvantages of using a certain type of feature in either the detection or the computation time. In this article we analyse the