wscola

S57-Electronic-Chart-Reading-and-Storing

This project mainly uses the C ++ language to parse the electronic chart and store it in the xml format！

Global_path_planning_for_USV

This repository uses the S-57 electronic chart to build the octree grid environment model, and proposes an improved A* algorithm based on sailing safety weight, pilot quantity and path curve smoothing to ensure the safety of the route, reduce the planning time, and improve path smoothness.

AStarGridSearch

Created a 2D map discretized into a grid of square cells that can be blocked, unblocked, or partially blocked in Python. Computed the optimal path from a start node to a goal node using a heuristic search algorithm called A*.

dynamicPathPlanning

A demo of dynamic path planning

Path-Planning-Algorithms

This project is a part of my thesis. It includes D*Lite, D* and A* algorithms.

path_planning_demo_live

This is the code for the "How to Make a Path Planning Algorithm Easily " live session by @Sirajology on Youtube

sensor-fusion-lidar-imu

micropython-fusion

Sensor fusion calculating yaw, pitch and roll from the outputs of motion tracking devices

ekfoa

Monocular camera based real-time on-board obstacle avoidance for unmanned aerial vehicles.

self-driving-car-obstacle-detector

Obstacle Detection for Self-Driving Cars

ros_navigation

robot automatic navigation stack including map building(histogramic in-motion mapping (HIMM) with grid_map), obstacle avoidance(vfh+) and navigation algorithms(A*, RRT+)

gridmap_laser_rgbd_fusion

Detect 3D obstacle by sensor fusion of 2D laser and RGB-D camera,then 3D obstacle obstacle of not included in 2D gridmap, added into 2D gridmap

Fusion-Laser-And-Stereo-Camera

Fusion Laser And Stereo Camera Info to perform local path planning and obstacle avoidance.

RealTimePathPlanning

Sampling based rewiring approaches to solve motion planning problems for a robot with dynamic obstacles

Obstacle-Detection-and-Path-Planning

Processing an Image to find obstacles and the minimum path between two similar objects using OpenCV.

Human-detection-and-Tracking

Human-detection-and-Tracking

Udaicty-CarND-State-Estimation-02-Lidar-and-Radar-Fusion-with-EKF

Udacity Self-Driving Car Engineer Nanodegree - Term 2 - Lesson 6 - Lidar and Radar Fusion with EKF in C++.

Inspect_sensor_fusion

Sensor fusion for stereo cameras and ToF

Udacity-SDCND-Term-2

Udacity's Self-Driving Car Nanodegree Term 2 - Robotics, Sensor Fusion, Control Systems

ros-image_cloud

ROS package for Sensor fusion between lidar (PointClouds, PCL) and Image sensors.

fusion-ukf

An unscented Kalman Filter implementation for fusing lidar and radar sensor measurements.

tracking-with-Unscented-Kalman-Filter

Object (e.g Pedestrian, biker, vehicles) tracking by Unscented Kalman Filter (UKF), with fused data from both lidar and radar sensors.

kalman_filter_multi_object_tracking

Multiple object tracking using Kalman Filter and Hungarian Algorithm - OpenCV

Kalman

Some Python Implementations of the Kalman Filter

Extended-Kalman-Filter

Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters

GPS_IMU_Kalman_Filter

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

sensor-fusion

Kalman filter, sensor fusion