Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program
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Updated
Jun 23, 2024 - C++
Projects Implemented for the Udacity Sensor Fusion Engineer Nanodegree Program
A detection project for my Signals class at ISAE-Supaero
A project solution for the RADAR project in Sensor Fusion NanoDegree, Udacity
"YOLO-CFAR: a Novel CFAR Target Detection Method Based on YOLO"
The goal of this project is to use MATLAB to implement a Radar target generation and detection system.
Robust CFAR detector based on censored harmonic averaging
Attempt to reimplement the VTC2019-Fall 'DL-CFAR: A Novel CFAR Target Detection Method Based on Deep Learning' paper
Configuring the radar FMCW waveform based on the system requirements and simulating the radar signal propagation and moving target scenario. Finally, post processing the radar signal using 1st FFT, 2nd FFT, and CA-CFAR to estimate the target's range and velocity.
Vessel Detection in Synthetic Aperture Radar(SAR) Images
✨✨ 🛰️ Official repository of paper on improved two-parameter CFAR algorithm based on Rayleigh distribution and Mathematical Morphology for SAR ship detection. ✨✨
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