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@jkk-research

JKK - Vehicle Industry Research Center

Széchenyi University's Research Center
README.md

The Vehicle Industry Research Center has been working since May 2011 in Gyor, Hungary at the Szechenyi University. Understanding and researching how people and vehicles cooperate is an essential skill when designing the future of traffic. We believe that fully self-driving (a.k.a. autonomous) technology can lead to safe, easy, and sustainable transportation. We are preparing for this new technology-to-come by studying and researching its fundamentals and exploring the possibilities it offers. This process helps us gain unique knowledge on the mixed field of mechatronics, robotics, and artificial intelligence. Future transportation can be safe, easy, and sustainable without compromises.

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  1. urban_road_filter urban_road_filter Public

    Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗

    C++ 327 81

  2. wayp_plan_tools wayp_plan_tools Public

    🏎 Waypoint and planner tools for ROS 2 with minimal dependencies.

    C++ 166 21

  3. lanelet2_maps lanelet2_maps Public

    Open maps and models of the ZalaZONE automotive proving ground and the Széchenyi István University Campus (Győr)

    Jupyter Notebook 15 3

  4. colors colors Public

    🎨 Recommended colors for ROS / ROS2 and Rviz visualization (based on google material colors)

    C++ 6

  5. lexus_bringup lexus_bringup Public

    🚗 ROS 2 package for basic functions on Lexus rx450h

    Python 5

  6. pointcloud_to_grid pointcloud_to_grid Public

    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. 🤖

    C++ 167 20

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