Hi,
I am doing a Arduino Robot car ref. to:

my question is how to measure and control the Avoidance car's turn angle when the Ultrasonic sensor detected an Obstacle?
I don't think the HMC5883L kind of compass or even GPS module can work if in-room.
Thanks
Adam

 

Hi,
I am doing a Arduino Robot car ref. to:

my question is how to measure and control the Avoidance car's turn angle when the Ultrasonic sensor detected an Obstacle?
I don't think the HMC5883L kind of compass or even GPS module can work if in-room.
Thanks
Adam

The earth's magnetic field is not blocked the way GPS satellite signals are. So the compass will always work unless there are large magnets or big metal structures nearby. The compass will give you an absolute bearing relative to the earth's field but navigation will have to be done by dead reckoning or some sort of triangulation with, say, infrared beacons.

 

The earth's magnetic field is not blocked the way GPS satellite signals are. So the compass will always work unless there are large magnets or big metal structures nearby. The compass will give you an absolute bearing relative to the earth's field but navigation will have to be done by dead reckoning or some sort of triangulation with, say, infrared beacons.

Thanks.
it is a solution.

 

Magnetometer based navigation is noisy and often inaccurate. Sensor fusion with 9DOF is the recommended solution for solid motion tracking data.

https://www.embeddedcomputing.com/technology/analog-and-power/basics-of-6dof-and-9dof-sensor-fusion

Thanks to the third sensor and sensor fusion algorithms, the 9DOF tilt-compensated and gyro-stabilized eCompass is now gathering the best data from all three sensors, identifying and compensating for the flaws of some with the strengths of the others. It provides an accurate, low noise, smooth but responsive estimate of the device orientation angles, rotation speed, linear acceleration, Earth gravity, and geomagnetic fields; delivers sensor calibration error information; and is more resilient to magnetic interferences. The outcome greatly exceeds the sum of individual sensors’ contributions, which is the essence of sensor fusion.

http://wiki.ros.org/razor_imu_9dof

 

Magnetometer based navigation is noisy and often inaccurate. Sensor fusion with 9DOF is the recommended solution for solid motion tracking data.

https://www.embeddedcomputing.com/technology/analog-and-power/basics-of-6dof-and-9dof-sensor-fusion


http://wiki.ros.org/razor_imu_9dof

I suspect sensor fusion is out of scope for this project/builder but who knows?

 

I suspect sensor fusion is out of scope for this project/builder but who knows?

Most of the sensor fusion software complexity (hardware and software) is canned for Arduino systems. It's worth the extra effort to understand why sensor fusion is the modern standard for motion tracking.

 

Most of the sensor fusion software complexity (hardware and software) is canned for Arduino systems. It's worth the extra effort to understand why sensor fusion is the modern standard for motion tracking.

While I agree completely with you, the level of questions in this thread suggests to me the technology is more suited to a future version. I could be wrong, but I am trying to maximize the chances of success for the TS.