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Otokar Automotive and Defence Industry Inc.
- Sakarya, Turkey
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04:49
(UTC +03:00) - https://www.linkedin.com/in/tar%C4%B1kkartal/
- https://www.tarikkartal.com
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Perform inference with TwinLiteNet model using ONNX Runtime. TwinLiteNet is a lightweight and efficient deep learning model designed for drivable area and lane segmentation
Development of Deep Learning algorithms for Drivable Area Segmentation, Lane Segmentation, Traffic Sign Detection and Classification with data collected and labeled by Ford Otosan.
Development of Deep Learning algorithm for Drivable Area Segmentation with data collected and labeled by Ford Otosan.
Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper
YOLOPv2: Better, Faster, Stronger for Panoptic driving Perception
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Programming Book 2 :C++、Go、JavaScript、Node.js
A simple PID library for use with Arduino or other C++ applications.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
A self-driving car simulator built with Unity
Project template using CMake / Qt / NSIS or WiX / MinGW or MSVS combined in easy-to-use form
detect curved lane lines using HSV filtering and sliding window search.
Basic lane detection program written in C++
Docker build for FFmpeg on Ubuntu / Alpine / Centos / Scratch / nvidia / vaapi
ShellCheck, a static analysis tool for shell scripts
Light-weight, simple and fast XML parser for C++ with XPath support
Practical FFmpeg examples for beginners
A compact FFT library in C with an Android JNI wrapper