Attitude estimation plays a major role in the autonomy of unmanned aerial vehicles and
requires fusion of different sensor measurements. This paper describes an adaptive …

This paper presents a novel method for attitude estimation of an object in 3D space by
incremental learning of the Long-Short Term Memory (LSTM) network. Gyroscope …

Attitude estimation is one of the core frame-works used for navigating an unmanned aerial
vehicle from one place to the other. This paper presents an Euler-based non-linear …

Key pose recognition (KPR) is widely used in sport analysis, which provides effective tools
for coaches, athletes and other professionals to conduct game analysis and auxiliary …

Motion estimation of a moving vehicle is one of the most important aspects of an
autonomous navigation system. With increasing demand of navigation in GPS denied …

Sensor fusion is the art of estimating accurate information from noisy multi-sensor data. Due
to the complexity of stochastic sensor errors, design and testing of sensor fusion algorithms …

Attitude estimation is one of the core frameworks for a vehicle navigating with the help of
inertial sensors such as accelerometer, gyroscope and magnetometer. Measurements …

Abstract Attitude and Heading Reference System (AHRS) is a self-contained sensors
assembly that can estimate full 3D orientation of an object. The AHRS system model …

In cognitive radios, the primary user sensing plays an important role in defining a
compromise between spectrum efficiency and licensed user interference. In this paper, the …

Shodhganga@INFLIBNET: Performance Analysis and Optimization of Spectrum Sensing for
Dynamic Spectrum Access in Cognitive Radio Skip navigation DSpace logo Home Browse …