| Title |
Three Dimensional Light Detection And Ranging Decoder Design For Autonomous Vehicles Technologies |
| ID_Doc |
57313 |
| Authors |
Fan Y.-C.; Ning H.-I. |
| Year |
2021 |
| Published |
ISPCE-ASIA 2021 - IEEE International Symposium on Product Compliance Engineering-Asia, Proceeding |
| DOI |
http://dx.doi.org/10.1109/ISPCE-ASIA53453.2021.9652439 |
| Abstract |
In this paper, we present a three dimensional Light Detection And Ranging (LiDAR) decoder design for autonomous vehicles technologies in smart cities. We perform chip and system design of data packet decoding and analyzing for user datagram protocol using Velodyne LiDAR Puck-16. The 3D LiDAR point clouds are decoded and reconstructed according to the UDP data packets that include distance, angle, reflectivity, and time stamp. Then, 3D scene is reconstructed after operation. We use LiDAR to estimate the location and moving direction of the object, and plan the route so that the driverless autonomous vehicle can travel more safely and efficiently. © 2021 IEEE. |
| Author Keywords |
3D LiDAR system; 3D scene reconstruction; object detection; object recognition; point clouds; smart cities |
