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http://dx.doi.org/10.6109/jkiice.2021.25.7.977

Efficiency Low-Power Signal Processing for Multi-Channel LiDAR Sensor-Based Vehicle Detection Platform  

Chong, Taewon (CARNAVICOM Co., Ltd.)
Park, Daejin (School of Electronics Engineering, Kyungpook National University)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.25, no.7, 2021 , pp. 977-985 More about this Journal
Abstract
The LiDAR sensor is attracting attention as a key sensor for autonomous driving vehicle. LiDAR sensor provides measured three-dimensional lengths within range using LASER. However, as much data is provided to the external system, it is difficult to process such data in an external system or processor of the vehicle. To resolve these issues, we develop integrated processing system for LiDAR sensor. The system is configured that client receives data from LiDAR sensor and processes data, server gathers data from clients and transmits integrated data in real-time. The test was carried out to ensure real-time processing of the system by changing the data acquisition, processing method and process driving method of process. As a result of the experiment, when receiving data from four LiDAR sensors, client and server process was operated using background or multi-core processing, the system response time of each client was about 13.2 ms and the server was about 12.6 ms.
Keywords
LiDAR sensor; Embedded system; Parallel processing; Low-power signal processing;
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