Arcueil, Île-de-France, France
Development of an autonomous navigation system for a delivery robot. *Use of Extended Kalman Filter to fuse odometry data from wheel encoder, IMU and GPS in order to estimate the position and location of the robot. *Writing different C++ and python ROS nodes for sensors data collection and calibration, localization and navigation . *Implementation of an algorithm for object detection and recognition on nvidia Jetson Nano. *Processing of Google Maps waypoints to form appropriate ROS goals messages. *Serial communication between Nvidia Jetson Nano and STM32(using using UART and Rosserial protocols). Tools:ROS, Rviz, C++, Embedded Linux, python, minicom, UART, SSH, Rosserial,Publish/Subscribe, EKF, DWA, opencv, YoloV3, Git Hardware:Monocular Camera(See3CAM), IMU, GPS, Wheel Encoder, Nvidia Jetson Nano, STM32, Arduino.
Covid19 Project *Development of a deep learning algorithm that provides facial recognition and identification of people with and without a mask. *Creation of the employees database. *Creation of a graphical interface. *Implementation on an EPC35 card (ARM A8). Tools:Python, Git, Linux embarqué, Cuda, Opencv, tensorflow, face_recognition, face_alignment, Dlib, Keras, tkinter, GUI, MySQL, Yocto Project, Gradient Descent
Organize industrial visits and workshops for INSAT students
-Case study of an NPS(Neuhoff Packaging system) -NPS GRAFCET conception and program implementation using STEP7(TIA Portal) V14