Muhammad Khaled

Lidar Obstacle
Detection

Stream back multiple point cloud data files and perform filtering, segmentation, clustering, and bounding box detection.

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Feature
Matching

Using keypoint detectors, descriptors and YOLO deep-learning framework to track Objects in 3D space. Then, associate regions in a camera image with Lidar points.

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RADAR Target Generation
and Detection

Simulate FMCW based on given requirements. Then, performing range FFT, 2D FFT, and CFAR processing to detect targets.

Code

Unscented Kalman
Filter

Implement an Unscented Kalman Filter to estimate the state of multiple cars on a highway using noisy lidar and radar measurements.

Code