The purpose of this paper is to attitude estimation of Nano-satellite which requires navigation sensors data to less cost function and effection movement of Nano-satellite focus of the research is to using data of navigation sensors and methods to achieve the requirement of the attitude estimation. in this paper the following attitude estimation of the according to direction of sun of the Nano-...

In this report the problem of vehicular navigation based on the integration of the global positioning system and an inertial navigation system is tackled. After analysing some fundamental technical issues about reference systems, vehicle modelling and sensors, a novel solution, combining extended Kalman Filtering with particle Fitering, is developed. This solution allows to embed highly nonline...

Global Navigation Satellite System (GNSS) constitutes the foremost provider for geo-localization in a growing number of consumer-grade applications and services supporting urban mobility. Therefore, low-cost ultra-low-cost, embedded GNSS receivers have become ubiquitous mobile devices such as smartphones consumer electronics to large extent. However, limited sky visibility multipath scattering ...

Radio frequency (RF) indoors localization is adopted by automated guided vehicles (AGVs) positioning due to availability of communications framework sub-system (e.g. ZigBee wireless network) in the entire working system. AGV (i.e. a type of wheeled mobile robot) communications sub-system can therefore support RF localization hardware without additional cost. Mobile communications for indoors en...

Abstract. Kinematic laser scanning enables efficient and accurate acquisition of 3D data, specifically point clouds. Transforming the ranging measurements from scanner coordinate system to a georeferenced requires integration with auxiliary navigation systems, in this case using GNSS (global satellite system) an IMU (inertial measurement unit). data are commonly fused via Kalman filter, resulti...

Performance standards for industrial mobile robots and mobile manipulators (robot arms onboard mobile robots) have only recently begun development. Low cost and standardized measurement techniques are needed to characterize system performance, compare different systems, and to determine if recalibration is required. This paper discusses work at the National Institute of Standards and Technology...

Abstract: Simultaneous localization and mapping (SLAM) algorithm for mobile robots is a feature problem in the field of robotics. The determination of the SLAM problems also has gained significant research momentum in recent times. In this paper, a low cost and robust navigation system that can guide the autonomous mobile robots in known as well as unknown environment is presented. Simultaneous...

Navigation employing low cost MicroElectroMechanical Systems (MEMS) sensors in Unmanned Aerial Vehicles (UAVs) is an uprising challenge. One important part of this navigation is the right estimation of the attitude angles. Most of the existent algorithms handle the sensor readings in a fixed way, leading to large errors in different mission stages like take-off aerobatic maneuvers. This paper p...