Test the position relationship between GPS and IMU

Now I cannot connect http://www.svlsimulator.com/ .But I had local map and vehicle model, Forget the position relationship between GPS and IMU. What should I do .

Answer 1

[Shaik]

Hi,

If you are unable to connect to the website http://www.svlsimulator.com/, but you have access to a local map and vehicle model, you can still proceed with your simulation by simulating the position relationship between GPS and IMU. Here's what you can do:

1. Simulate GPS data: Generate or simulate GPS data that represents the position and orientation of your vehicle. You can create a simulated GPS module in your application that outputs the necessary GPS coordinates (latitude, longitude, altitude) and other relevant information such as heading, speed, and timestamp.
2. Simulate IMU data: Create a simulated IMU module that generates inertial sensor data such as acceleration, angular velocity, and orientation. You can use the local map and vehicle model to calculate the expected sensor readings based on the simulated position and orientation.
3. Sensor fusion: Implement a sensor fusion algorithm that combines the GPS and IMU data to estimate the vehicle's position and orientation accurately. Popular sensor fusion algorithms include Kalman filters, particle filters, or complementary filters. These algorithms take into account the strengths and limitations of each sensor to provide a fused estimate that is more accurate than using a single sensor alone.
4. Simulate the vehicle's behavior: Use the local map and vehicle model to simulate the vehicle's dynamics, including acceleration, steering, and braking. Update the vehicle's position and orientation based on the sensor fusion estimates and the simulated vehicle behavior.