Jean-Yves Bourdoncle (Jeanyvesbourdoncle)

Jeanyvesbourdoncle

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Location:Strasbourg - France

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Jean-Yves Bourdoncle's repositories

Radar_Target_Generation_Detection

Radar signatures analyze to detect and track objects. Apply dynamic thresholds to identify and eliminate false positives.

Language:MATLABLicense:MITStargazers:6Issues:3Issues:0

2D-Path-Planner

Udacity Project : Implementation of a Behavior planning (with a finite state machine) and a smooth and safe trajectory (to overtake a car)

Language:C++License:MITStargazers:1Issues:2Issues:0

FCND-Controls-CPP

Control System development (Cascade Controller) for a drone in a 3D environment

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FCND-Motion-Planning

Grid and Graph Search with the A* algorithm (path+cost function) for a drone in an urban environment + Path optimization

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Noisy-Lidar-Radar-Sensor-Fusion-with-an-EKF-

Position and Velocity Estimation of a bicycle using the Extended Kalman Filter with noisy lidar and radar data measurements.

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Advanced-lane-lines-finding-on-the-road

SW Pipeline to identify the lane boundaries from a front-facing camera on a car (use of OpenCV)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

Behavioral-Cloning-of-a-virtual-autonomous-vehicle-with-the-transfert-learning-technique

CNN model Training to minimize the error between the desired command (data recorded) and the computed steering command output (from the CNN)

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:2Issues:0

FCND-Estimation-CPP

State Estimation of a 3D Quad with the use of Bayes Rules (Extended Kalman Filter)

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FCND-Backyard-Flyer

Finite state machine (event-driven programming) implementation for autonomously flying a drone

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PID-implementation-for-steering-angle-control

Udacity Project : Cross Track Error (CTE) minimization with the 3 PID hyperparameters

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Robot-Localization-with-a-Particle-Filter

Particle filter implementation and combination with a map to determine the precise location of a vehicle

Language:C++License:MITStargazers:0Issues:2Issues:0

Self-Driving-Car-Nanodegree-Capstone

ROS system to drive a car and recognize traffic lights from camera images

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SFND_Camera

This repo contains all exercises and corresponding solutions for Sensor Fusion ND.

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Simple-lane-lines-finding-on-the-road

Udacity Project : Simple SW Pipeline to identify the lane boundaries in a video from a front-facing camera on a car (Canny functions and Hough Transform)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0

Traffic-Sign-Recognition-Classifier

Udacity Project : Design and Implementation of a CNN Pipeline for a Traffic Sign Recognition (Tensorflow Framework)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0