RESEARCH INTEREST - I’m interest in object Detection and tracking with lidar sensor.- I researched Object Detection using Complex-Yolo, a deep learning-based, and FCNN network, an open platform detection network.- To detect unstructured objects, I used a rule-based detection algorithm.- The speed and behavior of the object are tracked through object tracking using the Kalman filter.Knowing how to use simulators such as CarMaker and MORAI, the algorithm was verified in simulation and real difference through this.ENGINEERING SKILLS - Language- Expert: C/C++, OpenCV, Robot Operating System (ROS)- Intermediate: Python, Anaconda, Pytorch, CMake- Beginner: TensorRT, ONNX, Matlab, R, CUDA- Use Simulator: MORAI, CarMaker
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Peception EngineerNeubility May 2022 - Present대한민국 서울
Jieun Jeong Education Details
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Self-Driving Car Engineering
Frequently Asked Questions about Jieun Jeong
What company does Jieun Jeong work for?
Jieun Jeong works for Neubility
What is Jieun Jeong's role at the current company?
Jieun Jeong's current role is Self-driving Car Software Engineer.
What schools did Jieun Jeong attend?
Jieun Jeong attended Chungbuk National Univeristy.
Who are Jieun Jeong's colleagues?
Jieun Jeong's colleagues are Gauvain Marseille, 서석범, Sangjun Kim, Gyedong Jeon, Dongjin Woo, 정성현, Kyungsu Cha.
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Jieun Jeong
Corporate Venture Capital | Investee Relationship Management | Hyundai Motor Group Cvc | Python DjangoSeoul, South Korea -
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