Saeyoung Jeong's repositories
Extended-Kalman-Filter
Extended Kalman Filter implementation to estimate a moving object with Lidar and Radar sensor measurements. With sensor_fusion data, Extended Kalman filters predict and determine with certainty the location of other vehicles on the road.
Autonomous_Driving
Autonomous Driving using deep learning to train a deep neural network (CNN+) to drive a vehicle in the simulator in the same way of driving a car in manual mode. Applied "NVIDIA end-to-end deep learning for self-driving cars" architecture.
DM-NoSQL-ETL
data modeling for music streaming service
Facial-KeyPoints-Detection
Use image processing techniques and deep learning techniques to detect faces in an image and find facial keypoints, such as the position of the eyes, nose, and mouth on a face.
Lidar-Obstacle-Detection
Lidar Obstacle Detection - Filter(Voxel-Grid filter and Cropping), segment(3D Ransac algorithm), and cluster (3D kd-tree and euclidean clustering) real point cloud data to detect obstacles in a driving environment.
chatbot
A Chatbot implementation. This chatbot answers questions about C++ knowledge! This project is to use modern C++ memory management techniques such as smart pointers and move semantics.
Route-Planner
OpenStreetMap Route Planner using A* search
snake-game
A two player's 2D snake game
system-monitor
A process monitor system that monitors all the active processes, with their corresponding process ids (PIDs), CPU usage, memory usage
traffic-simulator
A traffic simulator with traffic lights, vehicles and intersections using concurrent programming(threads, mutexes, locks) and message queue.
3D-Sensor-Fusion
Vehicle Tracking using YOLO v3 (image training) and Lidar data
Android-kotlin
Android apps only implemented in kotlin (version >=1.3.7)
CharityML
Finding Donors for CharityML
FlowerClassifier
Flower image Classifier
Machine-Translation
A deep neural network that functions as part of an end-to-end machine translation pipeline.
MonteCarloMethods
A python implementation - Monte Carlo Methods
nlp-spam-detector
spam detector on text messages dataset
PartofSpeechTagging
Part of Speech Tagging Use several techniques, including table lookups, n-grams, and hidden Markov models, to tag parts of speech in sentences, and compare their performance.
Road_Lane_Detection
A pipeline to identify the lane boundaries in a video from a front-facing camera on a car by exploring calibrating cameras and color space transform to manipulate images. Applied more advanced Canny edge (Sobel filters) and other openCV technique helps to find white/yellow lanes.
Robot_Particle_Fillter
Particle Filter implementation : implement a particle filter and combine it with a real map to localize an object. Particle filter uses data and a map to determine the precise location of an object such as a robot or a vehicle.
Semantic-Segmentation
a tensorflow implementation for scene understanding and object detection using Semantic segmentation
Sentiment-Analysis
Sentiment Analysis : PyTorch Implementation, Tensorflow Keras Implementation
SSD-Object-Detection
Implemented objects(Vehicles, Traffic Lights) detection pipe line by applying MobileNets and SSD (Single Shot Detection) architecture in order to detect vehicles , traffic lights and pedestrians in the driving video
TemporalDifference
Python Implementation for Temporal Distance methods
Traffic-Light-Classification
A open-cv and CNN(Tensorflow) implementation to detect Traffic light (red, yellow, green) state
Unscented-Kalman-Filter
Unscented Kalman Filter Implementation by using a deterministic sampling approach to estimate the state of multiple cars on a highway using Lidar and Radar sensor measurements.
YOLOv3-Object-Detection
Vehicle detecting implementation using OpenCV's YOLOv3 library in C++
YOLOv3-Pytorch
Object Detection with YOLOv3 in Pytorch