01
Master's Thesis · Radar Perception
End-to-End AI Radar Signal Processing
Extended T-FFTRadNet with a dense radial-velocity head for joint detection, occupancy, and per-cell velocity prediction from range–Doppler radar.
Work / Four case studies
Selected projects
Case studies in radar and LiDAR perception, robotics systems integration, and point-cloud evaluation. Each one explains the engineering problem, my contribution, the evidence, and the limits of the result.
02
LiDAR Scene Flow
DirectFlowMatch
A deterministic, geometry-aware scene-flow method that estimates per-point motion from consecutive LiDAR scans without segmentation or clustering.
03
Human-in-the-loop robotics
Teleoperation Systems Integration
Implemented 4G/5G teleoperation on an ADAS-enabled miniature vehicle using NVIDIA Jetson, ROS control, four-camera GStreamer feedback, and end-to-end reliability debugging.
04
LiDAR Data Investigation
Point-Cloud Compression
Researched several preconditioning techniques for 3D point clouds to improve their compressibility, from image-based representations to structure-aware ZFP experiments.
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