lucasrodes/el2320-project
Combining Kalman Filter with Particle Filter for real time object tracking.
This project helps robotics engineers and control systems designers accurately track the position and movement of objects in real-time. It takes sensor measurements of an object's location over time and outputs a continuously updated, more precise estimate of its true position and velocity, even when measurements are noisy or incomplete. It's designed for professionals working with autonomous systems, surveillance, or any application requiring robust object localization.
No commits in the last 6 months.
Use this if you need to reliably track objects in dynamic environments where sensor data might be imprecise or sporadic, like in robotics navigation or video surveillance.
Not ideal if your application requires tracking a very large number of objects simultaneously or demands extremely low computational overhead on constrained hardware, as more advanced or specialized algorithms might be more suitable.
Stars
10
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2
Language
MATLAB
License
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Category
Last pushed
Mar 06, 2021
Commits (30d)
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