Embedded AHRS/IMU 9DOF Sensor Module
Embedded AHRS/IMU 9DOF Sensor Module
Production Lead Time:
3 day(s)
SUPPLIER INFO LAST UPDATED: 8 Sep 2020
ADVERTISE SINCE: 18 Feb 2011
Products
Services
Suppliers
Please enter a valid keyword with 2 or more characters / numbers.
Product Attribute(s)
Model No.:
TSS-LX
Brand:
YostLabs
Size:
16x15x1.7mm
Port:
Hong Kong
Type of Payment:
PayPal, T/T
Minimum Order Quantity:
2
Package:
Yes
Description
3-Space TSS-LX Embedded AHRS/IMU Sensor Module +-1.5 deg
The Yost Labs 3-Space SensorTM LX is an ultra-miniature, high-precision, high-reliability, low-cost SMT Attitude and Heading Reference System (AHRS) / Inertial Measurement Unit (IMU) which uses triaxial gyroscope, accelerometer, and compass sensors in conjunction with advanced processing and on-board quaternion-based orientation filtering algorithms to determine orientation relative to an absolute reference in real-time.
Orientation can be returned in absolute terms or relative to a designated reference orientation.
The gradient descent calibration process and high update rates increase accuracy and greatly reduce and compensate for sensor error. The Yost Labs 3-Space Sensor system utilizes QGRADTM sensor fusion along with advanced dynamic confidence algorithm that work together to ensure optimal accuracy and precision across a wide range of operating conditions.
The Yost Labs 3-Space Sensor LX module features are accessible via a well-documented open communication protocol that allows access to all available sensor data and configuration parameters.
Versatile commands allow access to raw sensor data, normalized sensor data, and filtered absolute and relative orientation outputs in multiple formats including: quaternion, Euler angles (pitch/roll/yaw), rotation matrix, axis angle, two vector (forward/up). Embdedded pedestrian tracking algorithm allows path capture for wearable or carried sensors. The 3-Space Sensor Embedded LX module also offers a range of communication interface options which include SPI, I2C, USB 2.0, and asynchronous serial.
Applications:
• Personnel / pedestrian navigation and tracking
• Motion capture
• Healthcare and rehabilitation monitoring
• Positioning and stabilization
• Robotics
• Unmanned air/land/water vehicle navigation
• Education and performing arts
• Virtual reality and immersive simulation
• Gaming and motion control
The Yost Labs 3-Space SensorTM LX is an ultra-miniature, high-precision, high-reliability, low-cost SMT Attitude and Heading Reference System (AHRS) / Inertial Measurement Unit (IMU) which uses triaxial gyroscope, accelerometer, and compass sensors in conjunction with advanced processing and on-board quaternion-based orientation filtering algorithms to determine orientation relative to an absolute reference in real-time.
Orientation can be returned in absolute terms or relative to a designated reference orientation.
The gradient descent calibration process and high update rates increase accuracy and greatly reduce and compensate for sensor error. The Yost Labs 3-Space Sensor system utilizes QGRADTM sensor fusion along with advanced dynamic confidence algorithm that work together to ensure optimal accuracy and precision across a wide range of operating conditions.
The Yost Labs 3-Space Sensor LX module features are accessible via a well-documented open communication protocol that allows access to all available sensor data and configuration parameters.
Versatile commands allow access to raw sensor data, normalized sensor data, and filtered absolute and relative orientation outputs in multiple formats including: quaternion, Euler angles (pitch/roll/yaw), rotation matrix, axis angle, two vector (forward/up). Embdedded pedestrian tracking algorithm allows path capture for wearable or carried sensors. The 3-Space Sensor Embedded LX module also offers a range of communication interface options which include SPI, I2C, USB 2.0, and asynchronous serial.
Applications:
• Personnel / pedestrian navigation and tracking
• Motion capture
• Healthcare and rehabilitation monitoring
• Positioning and stabilization
• Robotics
• Unmanned air/land/water vehicle navigation
• Education and performing arts
• Virtual reality and immersive simulation
• Gaming and motion control
