Create a path planner that is able to navigate a car safely around a virtual highway

My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.

In this project, the goal is to design a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. A successful path planner will be able to keep inside its lane, avoid hitting other cars, and pass slower moving traffic all by using localization, sensor fusion, and map data.

Self-Driving Car Engineer Program: Path Planning Project

Udacity Self-Driving Car Nanodegree - Path Planning Project

A vehicle path planning project contains the frame of prediction, behavior planner and trajectory generation.

Udacity CarND-Path-Planning project

Highway driving: Path Planning Project with Astar in 4D

Car Path Planner for the Udacity self driving simulator

Udacity Self Driving Car path planning project.

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Path Planning Project for Self-Driving Car ND using C++

Path planner that is able to navigate a car safely around traffic on a virtual highway. Udacity Self-driving car nanodegree - Project 11

设计一个路径规划器，该路径规划器能够使用定位，传感器融合和地图数据为汽车创建顺畅的安全路径

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In this project, I designed a path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic. This path planner it is able to keep car inside its lane, avoid hitting other cars, and pass slower moving traffic. The car drives around a virtual highway (6946m long) with other traffic that is driving +-10 MPH of the 50 MPH speed limit. The car's localization, sensor fusion data and a sparse map list of waypoints around the highway are provided. The car tries to go as close as possible to the 50 MPH speed limit, which means passing slower traffic when possible, note that other cars will try to change lanes too. The car will avoid hitting other cars at all cost as well as driving inside of the marked road lanes at all times, unless going from one lane to another.

Self-Driving Car Engineer Program: Path Planning Project

Highway scene path planning

My Submission For Udacity Self-Driving Car Engineer Nanodegree Program Path Planning Project

Path Planner

Implementation of highway driving using localization and sensor fusion. The code implements behavioral planning in a form of a state machine for lane changes and velocity adjustment

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High-level control architecture for autonomous vehicles.

Path Planning Project for Self-Driving Car ND

My Behavior Planning Implementation Using Sensor Fusion Data, Cost, Trajectory Generation & Predictions to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.

CarND-Path-Planning-Project-master

Self-Driving Car ND @ Udacity - Term 3 Project 1 - Path Planning

Autonomous vehicle path planning for highway driving

Udacity Self-Driving Car Nanodegree - Path Planning

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