Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
-
Updated
Dec 14, 2023 - C++
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
ROS 1 and ROS 2 node that converts sensor_msgs/PointCloud2 LIDAR data to nav_msgs/OccupancyGrid 2D map data based on intensity and / or height. 🤖
📒 This repository is devoted to share data related to the Shell Eco-marathon Autonomous Urban Concept (AUC) challange.
🚗 Nissan Leaf LGSVL simulator-based model for autonomous driving development.
📒 Rviz markers from stl files (polygon mesh) ROS 1 and ROS 2
Code of article "Optimal Control of Battery Electric Vehicle in Energy Efficiency Competitions".
🎨 Recommended colors for ROS / ROS2 and Rviz visualization (based on google material colors)
📗 Utility programs useful for autonomous vehicle development (in particular: Nissan Leaf, Lexus RX450h and Szenergy vehicles)
This is a data collection and analysis system for a vehicle. It displays a vehicle's parameters (e.g. speed) on an Android phone and graphs them in real time on a web application.
A sensor measures the RPM and displays it on a LCD display using ATmega328p.
Add a description, image, and links to the shell-eco-marathon topic page so that developers can more easily learn about it.
To associate your repository with the shell-eco-marathon topic, visit your repo's landing page and select "manage topics."