Yasin Demirtoka
Lidar & Perception Team Lead @Buckeye Autodrive
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WORK HISTORY
Lidar & Perception Team Lead @Buckeye Autodrive
Columbus, OH, US
Developed LiDAR–camera fusion algorithms using calibration matrices and frustum segmentation, achieving 95%+ 3D point association accuracy for vehicle and traffic-light localization.Designed 3D bounding box generation pipeline from point clouds via PCA-based orientation and histogram depth estimation, reducing false positives by 40% in real-time tracking.Implemented adaptive RANSAC ground-plane removal with dynamic thresholding and frame-based updates, improving terrain robustness and cutting processing time by 60%.Optimized point-cloud preprocessing with voxel downsampling, distance filtering, and sampling strategies, achieving 3× throughput at 10 Hz+ on embedded hardware.Architected multi-camera fusion system handling synchronized LiDAR projections across 3 views, reducing computational overhead by 50% via shared-memory and transform reuse.Built crash-avoidance module detecting untracked obstacles through 3D voxel-grid segmentation and bounding-box merging for enhanced safety in autonomy tests.
EDUCATION
The Ohio State University
Bachelor of Science - BS, Electrical and Computer Engineering
ABOUT YASIN DEMIRTOKA
Electrical and Computer Engineering student at The Ohio State University focused on robotics, embedded systems, and autonomous platforms.Checkout my website for more information https://yasindemirtoka.github.io/
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