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.
JKK - Vehicle Industry Research Center
Széchenyi University's Research Center
- 35 followers
- Győr, Hungary, Europe
- http://jkk.sze.hu/
- @jkkszeresearch
- jkk.sze
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Repositories
Showing 10 of 39 repositories
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- direct_lidar_inertial_odometry Public Forked from vectr-ucla/direct_lidar_inertial_odometry
[IEEE ICRA'23] A new lightweight LiDAR-inertial odometry algorithm with a novel coarse-to-fine approach in constructing continuous-time trajectories for precise motion correction.
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- direct_lidar_odometry Public Forked from Cardinal-Space-Mining/direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
- ros2_ouster_drivers Public Forked from ros-drivers/ros2_ouster_drivers
ROS2 Drivers for the Ouster OS-0, OS-1, and OS-2 Lidars