Course projects for the Sensor Fusion Nanodegree program on Udacity.
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Updated
Mar 29, 2021 - C++
Course projects for the Sensor Fusion Nanodegree program on Udacity.
Learn to detect obstacles in lidar point clouds through clustering and segmentation, apply thresholds and filters to radar data in order to accurately track objects, and augment your perception by projecting camera images into three dimensions and fusing these projections with other sensor data. Combine this sensor data with Kalman filters to pe…
Sensor Fusion and Localization related projects of Udacity's Self-driving Car Nanodegree Program:
Real-time public transport monitor for Berlin
Project: Advanced Lane Finding || Udacity: Self-Driving Car Engineer Nanodegree
🛩️⚙️ 3D Planning, PID Control, Extended Kalman Filter for the Udacity Flying Car Nanodegree // FCND-Term1
RGB-D based SLAM via RTAB-Map
Szilard Bessenyei's submitted projects for the Udacity Self-Driving Car Engineer course.
Udacity Flying Car Nanodegree - Term 1 - Project 4 - 3D Quadrotor Estimation
Udacity Intro to Self-Driving Cars Nanodegree Project : 2D Histogram Filter in C++
Udacity Flying Car Nanodegree
🏎️ Model Predictive Control (MPC) Project using C++, Eigen, Ipopt and CppAD for the Self-Driving Car Nanodegree at Udacity
A fun 2D Terminal game built with C++ (Udacity Capstone Project)
Udacity: Self-Driving Car Engineer Nanodegree | Project: Extended Kalman Filter
This a repo for my Capstone project in the Udacity C++ Nanodegree Program. The Capstone Project is a chance to integrate what I've learned throughout this program.
Self-Driving Car Engineer Nanodegree, Udacity
My Submission for Udacity Self Driving Car Nano Degree PID Control Project
Udacity Self Driving Engineer Nanodegree - Term 2 - Project 5 - Model Predictive Control
C++ is a high-performance programming language used in the world's most exciting problems from self-driving cars and robotics, to web browsers, media platforms, servers, and even video games.
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