ACEINNA has published a new video on YouTube titled How to measure dynamic tilt and orientation with an IMU:
Why would one want to know the dynamic tilt angle on a vehicle? Consider a classic example of a plane in the clouds. The pilot can’t see the ground, nor can he or she trust their instincts because they will feel a false gravity when the aircraft is turning. This means they need a dynamic tilt sensor which – in an aircraft – is often called a vertical gyro or the artificial horizon. Similar technology is used in automobiles.
With cars getting smarter, and evolving to autonomous navigation, there’s a real need for accurate dynamic orientation data of the vehicle. Orientation is just another way of saying dynamic tilt and heading.
In this new ACEINNA video, engineers learn how to integrate an IMU for Dynamic Tilt and Orientation Measurement. The Algorithms MUST combine Both Acceleration and Angular Rate Measurement. Using an Extended Kalman Filter is a good way to use acceleration to smoothly correct drift of angular rate measurement and also provide an absolute reference.
“OpenIMU enables advanced, easy-to-deploy localization and navigation algorithm solutions for a fraction of the time and cost of traditional methods. OpenIMU’s combination of open-source software and low-cost hardware enables rapid development of advanced solutions for drones, robotics, and autonomous applications,” explains Mike Horton, CTO of ACEINNA.
“OpenIMU is a professionally supported open-source GPS/GNSS-aided inertial navigation software stack for low-cost precise navigation applications,” he adds.
The OpenIMU Development hardware development kit includes JTAG-pod, precision mount fixture, EVB, and an OpenIMU300 module. The OpenIMU module features ACEINNA’s 5 deg/Hr, 9-Axis gyro, accelerometer, and magnetometer sensor suite with an onboard 180MHz ARM Coretex floating-point CPU. The IMU is delivered in a 24 x 37 x 9.5-mm easy-to-integrate module that operates from 2.7-5.5 Vdc.
This freely downloadable stack includes:
- Data logging, graphing, Allen Variance plots, and maps
- Free RTOS-based data collection and sampling engine
- Performance-tuned, real-time, navigation-grade GPS/INS Kalman Filter library
- Free IDE/compiler tool chain based on Visual Studio Code
- JTAG debugging for debugging code loaded on IMU
- Robust simulation environment with advanced sensor error models
- Extensive documentation