I am working on particle swarm ant colony system for WSN clustering in sensor network node i gave every sensor node x and y coordinate
I dont know, how to assign each sensor node attribute according to equation for calculation centers for nodes ,can anybody help me please .
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I am working on a drone-mounted setup which consists of one Lidar sensor and two Lucid cameras. Currently, the sensors are triggered by a CPU that is also mounted on the drone. However, triggering the sensors in this way is reducing the computational power of the CPU, which is also used to process the data captured by the sensors.
I am looking for a solution to trigger the Lucid cameras with the Lidar sensor, in order to free up the computational power of the CPU. I have no prior experience in this area, and I would be grateful for any guidance or advice on how to resolve this issue.
Thank you in advance for your time and help.
Sincerely,
Anh.
I am working on a project wherein a signal (preferably ISM) will be sent by a Hackrf one module mounted on a drone. The SNR of the transmitted signal will be calculated by a USRP 2900 placed on the ground. If the calculated SNR is below a certain percentage or a value, then the drone should lower its height; otherwise, it should hover at the same height.
I want to ask is how I can make a link between the USRP on the ground and the drone to achieve this? What are the hardware and software I will need for this?
Currently I am working on this project to provide the layout of a smart street light system with energy saving function based on sensor network for energy management. The proposal is an autonomous-distributed-controlled light system, in which the lights turn on before pedestrians come and turn off or reduce power when there is no one by means of a distributed-installed sensor network.
I will be adding a few things to the project for energy reduction but what I need to know is how do I perform the simulation to show that this approach would reduce energy consumption?
I'm using a high accuracy GPS RTK setup to precisely locate a mobile robotic platform in the field (down to 10 cm accuracy). I have also a 9DOF IMU mounted on the platform (9DOF sparkfun IMU Razor).
The Question is, Do I really need to perform a sensor fusion between IMU and GPS like what this ROS node do (http://wiki.ros.org/robot_localization) to estimate the robot pose? or is it just enough to read the Pitch,Yaw,Rotation data from the IMU to know the heading along with the GPS Long,Lat,Alt ?
What cases make it essential to perform this type of fusion ?
Thanks in advance
It is essential to perform fusion because:
1) Roll, Pitch, and Rotation data from the IMU are not perfect, and they will drift over time due to gyro errors. The magnetic field sensor in the IMU module limits this, but crudely. Fusion allows the GPS RTK measurements to be used to continuously estimate the dominant error sources in the IMU and maintain better attitude information.
2) The IMU supports position estimation when GPS-RTK is lost through signal blockage or any other outage, such that the robotic platform is not lost when and if GPS signals are interrupted.
I'm a student intern and have a work project using Kinect cameras. Unfortunately I can't go into project details due to confidentiality, but need to know if the IR dot array that is emitted from the IR blasters within the Kinect is a continuous stream or pulsed? Just the emitted IR light, not the reception from the IR camera. It would be shining on some other IR light sensors within the environment that detect when something passes through their IR field of view, but I have been told that it would not interfere as long as the stream is continuous.
I would appreciate any help/ information you guys could give.
The kinect 360 cameras has a static pattern of points that are unevenly distributed. The pattern is continuous and not pulsed as far as I know.