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