laventura / carnd.path.planning
Path-Planning for Self-Driving Car. Implemented a behavior planner in C++. Project for Udacity Self-Driving Car Nanodegree.
☆11Updated 7 years ago
Alternatives and similar repositories for carnd.path.planning:
Users that are interested in carnd.path.planning are comparing it to the libraries listed below
- Path planner that is able to create smooth, safe paths for the car to follow along a 3 lane highway with traffic.☆16Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree Path Planning Project.☆70Updated 7 years ago
- Self-Driving Car Engineer Program: Path Planning Project☆27Updated 4 years ago
- My (almost) solution to the Udacity DiDi Challenge (ROS/PCL/LiDAR/Keras)☆22Updated 7 years ago
- Implement a simple real-time path planner in C++ to navigate a car around a simulated highway scenario☆22Updated 7 years ago
- ☆63Updated 6 years ago
- A path planner for autonomous driving on highways☆16Updated 7 years ago
- Self-Driving Car Nanodegree☆15Updated 4 years ago
- Udacity Sensor Fusion P1 on Lidar Obstacle Detection☆20Updated 5 years ago
- Implementing MPC for low speed parking lot scenarios (EECS561 Final Project)☆10Updated 5 years ago
- Occupancy Grid Mapping Lab☆37Updated 2 years ago
- A ROS driver for the AutonomouStuff PACMod drive-by-wire system.☆27Updated last year
- Code for autonomous parking with the Hyundai Genesis.☆17Updated 5 years ago
- Readme and script for single-line installation☆48Updated 3 years ago
- Automatic Parking is an autonomous car maneuvering system (part of ADAS) that moves a vehicle from a traffic lane into a parking spot to …☆56Updated 5 years ago
- A project from the Self-Driving Car Engineer Nanodegree at Udacity☆10Updated 7 years ago
- ☆13Updated 5 years ago
- RGBD-SLAM , GMAPPING, HECTORMAPPING, OCTOGRAPH , KARTOSLAM , GOOGLE CARTOGRAPHER SLAM implementation in CARLA SIMULATOR☆23Updated 4 years ago
- Goal of project was to detect vehicles and pedestrians using Lidar points in real time.☆13Updated 7 years ago
- ROS-based code to control a real self-driving car. Final project for "Wolf Pack" team in Udacity's Self-Driving Car Engineer Nanodegree.☆49Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Model Predictive Control☆53Updated 7 years ago
- Lane detection package for ROS☆35Updated 6 years ago
- Udacity Self-Driving Car Engineer Nanodegree - Term 2 - Lesson 6 - Lidar and Radar Fusion with EKF in C++.☆29Updated 4 years ago
- A simulation environment for autonomous highway driving, based in Gazebo 9.☆26Updated 5 years ago
- 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 high…☆55Updated 7 years ago
- ☆13Updated 5 years ago
- qianguih' voxelnet version with ROS Implementation code☆51Updated 6 years ago
- Adaptive Cruise Control☆20Updated 8 years ago
- Udacity Self-Driving Car Engineer Nanodegree. Project: Extended Kalman Filters☆29Updated 7 years ago
- My solution to the Udacity Self-Driving Car Engineer Nanodegree behavioral cloning project.☆43Updated 3 years ago