jerrinbright

PID_Drone_ROS

Developed a ROSpy based control system for a quadcopter to transverse to a set of GPS setpoints autonomously. The Control System has two modules namely the Altitude controller and the position controller, Altitude controller stabilizes the drone at the zero error Roll, Yaw, Pitch angles using a PID based controller, the position controller takes in the target GPS coordinate has setpoint values and calculates the roll yaw pitch angles to successfully move to the setpoint coordinates. these controllers work in synchronization to autonomously fly the drone from one coordinate to another

VisualOdometry

Development of python package/ tool for mono and stereo visual odometry. Also, pose file generation in KITTI ground truth format is done. EVO evaluation tool is used for the evaluation of the estimated trajectory using my visual odometry code.

RTABMAP

Implementation of 3D mapping using Kinect and RGB-D Camera sensors in an indoor environment. Real-time appearance-based mapping (RTAB-Map) was used to make the 3D map simulated in the Gazebo environment.

QuadX

A custom-built drone package equipped with sensors including Kinect, IMU, Lidar and GPS especially made for incorporating Visual Inertial SLAM into the system.

GCODE-POINT-CLOUD-EXTRACTOR

Extracting the G-code cloud points and saving them in CSV. Simultaneously background of the images are removed and compared with the G-code point clouds, thus detecting errors in the 3D printed component.

LANE-DETECTION

Autonomous lane detection for self-driving cars using two different methods - CNN and Canny Detectors.

ROBOT-ARM-SIMULATION

6-DOF Pick and Place Robotic arm manipulator using Moveit framework and Gazebo environment for simulation

M2WR-SLAM-ROS

URDF-M2WR-ROBOT+NEW-WORLD+OBSTACLE-AVOIDANCE+GMAPPING-SLAM

MDE

Realtime Monocular depth estimation using Logitech Camera and Jetson Xavier NX board. Used weights from the "Monodepth" algorithm for training, to test in real-time.

WaBot-For-Business

WhatsApp bot made for business enterprises. Targetting instantaneous communication with the customers, thus enabling smart and convenient e-shopping via WhatsApp.

Web-app-for-image-recognition

Object recognition is done using ResNet50 pre-trained network. We custom trained over the REsNet50 model for recognition of automobile components (Oil filter, Screw, etc.). Then deployed it using FLASK along with HTML, CSS and JS framework into web.

CODE-SNIPPETS

Consists of a diverse collection of small projects developed majorly in Python scripting language. Some include path planning algorithms, 200+ bird species detection, object detection using imageai, number plate detection, segmentation, etc., amongst others.

jerriebright

jerrinbright.github.io

Personal Website

OBJECT-DETECTION

This repository implements object detection using YOLO and MobileNetSSD techniques in real-time. Both techniques use OpenCv to access the webcam.

obstacle_avoidance_rrt

RRT Based Obstacle Avoidance using pixhawk flight controller