HGuide HG4930 MEMS IMU Context
Market context
HGuide HG4930 is Honeywell's ultra-rugged tactical-grade MEMS IMU for autonomy, mapping, UAV, vehicle, and robotics applications.
- Target environment: UAVs, mapping payloads, ground vehicles, mobile robots, stabilization systems, and field machines working in harsh environments.
- Workflow context: Inertial navigation, stabilization, dead-reckoning support, mapping payload motion data, attitude estimation, and vehicle-state sensing.
- Customer context: Autonomy teams, drone builders, mapping-system integrators, defense suppliers, field-robot OEMs, and vehicle developers.
- Deployment model: IMU module integration with navigation software, GNSS, compute, calibration, vibration isolation, and customer control systems.
- Commercial maturity: Commercial Honeywell MEMS IMU product with public aerospace product page and robotics/mapping positioning.
- Adoption constraints: Adoption depends on drift tolerance, ruggedness requirements, integration interface, calibration, vibration environment, supply availability, and cost.
- Market position: Higher-grade inertial component for field robotics and autonomous-machine navigation.
- Adjacent products: ADIS16470 Tactical IMU, MTi-680G GNSS/INS, Cube Orange+ Flight Controller
Workflow
Inertial navigation, stabilization, dead-reckoning support, mapping payload motion data, attitude estimation, and vehicle-state sensing.
Deployment environment
UAVs, mapping payloads, ground vehicles, mobile robots, stabilization systems, and field machines working in harsh environments.
Specifications
- Ruggedness: Ultra-rugged MEMS IMU designed for very challenging environments
- Target Use Cases: UAVs, loitering munitions, industrial equipment, robotics, survey/mapping and ground vehicles
- Bandwidth Context: HG4930-S offers higher bandwidth and data rates for closed-loop control applications
- Manufacturing Location: Designed and built at a Honeywell facility in the USA
- Export Classification: ECCN 7A994; generally available without an export license
Tags
- Peer Group: Imu, Mems Imus
- Workflow: Drone Autonomy Stack, Mobile Robot Navigation
- Capability: Inertial Sensing
- Stack Layer: Navigation Layer
View HGuide HG4930 MEMS IMU overview