nesl/tinyodom
TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation
This project helps researchers and engineers accurately track the 3D position and movement of objects in environments where GPS is unavailable. By processing raw sensor data from inertial measurement units (IMUs), it generates precise trajectory estimates. It is designed for practitioners who need highly accurate navigation on small, power-constrained devices, such as those used for tracking pedestrians, animals, or autonomous vehicles underwater or in the air.
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Use this if you need to determine the precise location and movement of something in real-time, using only inertial sensors, especially on compact, low-power hardware.
Not ideal if your application primarily relies on GPS or if you are not working with resource-constrained embedded systems for navigation.
Stars
63
Forks
11
Language
C++
License
BSD-3-Clause
Category
Last pushed
May 10, 2023
Commits (30d)
0
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