LuvHayoung's starred repositories
VehicleDetectionAndTracking
Modified TensorFlow Object Detection Model for vehicle detection and tracking
real-time-carla-kalman-filter
A tutorial to understand Kalman filter with real-time trajectory estimation in Carla simulator
X-Plane-Dataref-Search
Search for datarefs of the X-Plane flight simulator
afcs_assignment
Automatic Fight Control Assignment
F16-Flight-Control-and-Simulation
Nonlinear and linear flight simulation with autopilots for altitude hold, velocity hold, and pitch controls(SAS damper).
aircraft-flight-controller
Simulink/Matlab model of linear and nonlinear flight controller for Boeing 747.
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Object-Detection-and-Distance-Measurement
Using yolov3 & yolov4 weights objects are being detected from live video frame along with the measurement of the object from the camera without the support of any extra hardware device.
Master_Thesis
Modification of YOLOv3(Keras) for object distance estimation
object_detection-PLUS-distance_estimation-v1
This project implements object detection and range estimation. The object detection is done through YOLOV5 in this implementation. The project works in concatenation i.e object detection output is input to the range estimation model.
Distance_measurement_using_single_camera
using single camera to measure the distance opencv python,
VisionBasedAircraftDAA
Datasets, models, and simulators for the Vision-Based Aircraft detect and avoid (DAA) problem.
XPlaneAutolandScenario
This is an autolanding scenario using the X-Plane simulator. This is intended as a research tool for verification with learning-enabled components in the loop.
MASC-offline-path-planning
This repository includes framework which is for landing trajectory prediction and feasibility evaluation for backup landing area
Control-Algorithm
反馈跟踪控制器，控制算法工具包，ADRC自抗扰控制，PID控制，抗积分饱和PID控制，增量式PID控制，模糊FuzzyPID控制，LQR线性二次型调节器控制，启发算法控制，强化学习控制，无人机轨迹跟踪控制
MASC-Architecture
This projects addresses unmanned aerial vehicle (UAV) navigation and path planning under engine-out case for landing under severe weather using a Multi-Level Adaptation approach. This is a milestone in a novel autopilot framework, which enables a UAV under large uncertainties to perform safety maneuvers that are traditionally reserved for human pilots with sufficient experience. In addition, we present a high-fidelity simulation environment for fixed-wing aircraft to test and validate the approach under various uncertainties. For the proposed Multi-Level Adaptation autopilot framework, we present the design and analysis as well as the simulation results for the case of emergency landing due to engine failure under severe weather conditions, a challenging task for an autonomous aircraft.
LADAC-Examples
Examples for the Library for Aircraft Dynamics And Control
deeplanding
Deep learning based autolanding system.
lis-vision-flight
Open source, simple fixed-wing drone for vision-based flight experiments
efficientnet
Implementation of EfficientNet model. Keras and TensorFlow Keras.
Deep-Learning
深度学习的实战项目
keras-efficientnet-regression
Apply transfer learning of EfficientNet to a custom regression problem with Keras and TensorFlow 2.