Sensor fusion combines data from multiple sources to create a reliable model of reality. This guide details how it works, its necessity in hardware, and implementation strategies for startups.
This article defines the gyroscope within a startup context, explaining angular velocity, comparing it to accelerometers, and detailing the challenges of integration and sensor drift.
An IMU combines sensors to track force, angular rate, and magnetic fields. This guide explains their mechanics, use cases, and how to select the right one for your hardware startup.
An exploration of odometry in startup contexts, covering how sensors track relative position, the inevitability of accumulation errors, and why it matters for robotics and hardware automation.