JohnBetaCode/CarND-P7-Highway_Driving

Stars
8
Rank 2,099,232 (Top 42 %)
Language
C++
License
MIT License
Created almost 6 years ago
Updated over 5 years ago

JohnBetaCode/CarND-P7-Highway_Driving

JohnBetaCode

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In this project the goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit. The car's localization and sensor fusion data are provided, there is also a sparse map list of waypoints around the highway. The car goes as close as possible to the 50 MPH speed limit, which means passing slower traffic when possible and avoiding dynamic and statical obstacles.

Social-Distancing-Analyser

Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.

Face-every-day-maker

This is a tool for making a every day video if you take a picture of you everyday (just to see how you get old)

JohnBetaCode

CarND-P3-Traffic_Sign_Classifier

Deep neural networks and convolutional neural networks to classify traffic signs

CarND-P4-Behavioral_Cloning

Cloning driving behavior using Deep neural networks and convolutional neural networks with Keras.

CarND-P1-Finding_Lane_Lines

Find and plot lane lines in images and videos using basic computer vision techniques like hough line, thresholding, color spaces, and linear regression

Jupyter Notebook

CarND-P5-Extended_Kalman_Filters

I implemented a extended Kalman filter in C++. Simulated lidar and radar measurements is provided with detections of a bicycle that travels around the vehicle. Kalman filter and sensors measurements are used to track the bicycle's position and velocity.

EveryDay-Studio

Make your own everyday video, showing how the years pass on you, this repo requires OpenCV, and Ffmpeg

CarND-P8-PID_Controller

In this project I'll revisit the lake race track from the Behavioral Cloning Project. This time, however, I implemented a PID controller in C++ to maneuver the vehicle around the track!

CarND-P6-Kidnapped_Vehicle

In this project I implemented a 2 dimensional particle filter in C++. The particle filter was be given a map and some initial localization information (analogous to what a GPS would provide). At each time step the filter will also get observation and control data. The robot has been kidnapped and transported to a new location! Luckily it has a map of this location, a (noisy) GPS estimate of its initial location, and lots of (noisy) sensor and control data.

CarND-P2-Advanced_Lane_Lines_Finding

Find lane lines and measure curvature in images and videos with advanced computer vision techniques like camera calibration, color spaces, gradients, histograms, surface projection, and others.

CarND-P9-Programming_Real_Self_Driving_Car

For this project, ROS is used to implement core functionality of the autonomous vehicle system, including traffic light detection, control, and waypoint following. The code is tested using a simulator, but also was used in a real self driving car named Carla.