Nowadays, laser ranging is widely used in industrial and security fields. As one of the most well-known pulse laser detection system, Lidar is a much effective equipment for environmental recognition. Currently, research on autonomous and smart vehicles technology has been growing exponentially in recent years by integrating more and more smart hardware or software inside. Most studies are almost based on non-real-time operating system with random delays, which leads to lag and inaccuracies in the received data. Based on a self-developed three-dimensional Lidar, a smart embedded system for real-time data transmission on the FPGA Zynq is proposed. The real-time signal acquisition and transmission system is implemented and verified in the three-dimensional imaging experiments system. In this system, verilog code is applied for Lidar data control acquisition and transmission. C/C++ code is used for data calculation and uploading the point cloud data to the computer through the network to realize the real-time display of point cloud. Experimental results demonstrate that the Lidar data are correctly read by the FPGA board. In addition, the real time data acquisition meets the requirements of control and real time data acquisition and procession at 20fps. The proposed approach provides a very useful basic platform for many applications using Lidar as a sensor and will improve their detection accuracy.
In view of the current booming LiDAR systems and the trends of the future market, this paper first introduces the mainstream manufacturers in real-time sensing LiDAR, as well as their products. Combining with different requirements in application, characteristics, and current situation of different LiDAR technical systems. Then, the research progress in railway perimeter real-time monitoring of the LiDAR team from the Institute of Microelectronics is presented. Finally, the application trend and development prospect of real-time sensing LiDAR are summarized and forecasted. To meet the evolving demands, real-time sensing LiDAR will be further advanced to low cost, high performance, product seriation, device miniaturization, fixation and multi-source integration, etc. The system has been applied to protect railway security.
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