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Saeyoung Jeong

🔭 I have worked on Computer Vision, Deep learning and Natural Language Processing application development with Python, C++, and JAVA. 🌱 I’m currently working on Autonomous car driving; Vehicle/road lane detection, Lidar/Radar sensor fusion, Localization , Path planning and control so on.

Autonomous Vehicle Projects

Input Projects Related
Camera Vision Perception Lane Detection Prediction->Behavior Planning->Trajectory Planning
Camera Vision Perception Traffic Light Detection Prediction->Behavior Planning
Camera Vision Perception Traffic Sign Detection Prediction->Behavior Planning
Camera Vision, Lidar, Radar Perception Object Detection & Tracking: Lidar/Yolo, SSD, Segmentation Prediction, Trajectory Planning
Lidar, GPS/Map Localization:Particle Filter,EKF, UKF,SLAM Route Planning, Behavior Planning

Machine Learning/Deep Learning/AI

ComputerVision/DeepLearning CV+DL+NaturalLanguageProcessing NLP/DeepLearning
Facial Keypoints Detection Handwritten Digits Generation(GAN) Sentiment Analysis(RNN)
YOLOv3 Object Detection Image2Image Translation(CycleGAN) Spam Detector(Naive Bayesian)
SSD(Single shot detection) House Number Recognition(DCGAN) Part-of-Speech Tagger(HMM)
Semantic Image Segmentation Generating Faces(DCGAN) TV Script Generation(RNN/LSTM)
Artistic Style Transfer Image Captioning(CNN-> RNN/LSTM) Machine Translation(RNN/LSTM)
On-Device AI/CV(private) Automatic Speech Recognition (private) On-Device AI/NLP(private)

Reinforcement Learning

Model-free Learning Model-based learning DRN (RN+NN)
Monte-Carlo Methods, Temporal-Difference Learning Value-Iteration, Policy-Iteration Value-based Methods, Policy-Based Methods, Multi-Agent RL

Teaching Course Examples

Mobile App Development WebService/ REST API DataBase/ETL IoT ROS/Localization
ObjectiveC, JAVA, Swift, Kotlin BLE WebService, OpenXC API RDBMS/ETL, NoSQL/ETL AlexaSkills, GoogleActions Robot/ROS, Localization, VehicleModel/Trajectory

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nodejs javascript android java ios machine-learning deep-learning cpp14 python3 cpp11 cpp17

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