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http://dx.doi.org/10.12673/jant.2020.24.3.192

Algorithm on Detection and Measurement for Proximity Object based on the LiDAR Sensor  

Jeong, Jong-teak (Carnavicom.Co..Ltd.)
Choi, Jo-cheon (Department of Marine Computer Engineering, National Mokpo Maritime University)
Publication Information
Journal of Advanced Navigation Technology / v.24, no.3, 2020 , pp. 192-197 More about this Journal
Abstract
Recently, the technologies related to autonomous drive has studying the goal for safe operation and prevent accidents of vehicles. There is radar and camera technologies has used to detect obstacles in these autonomous vehicle research. Now a day, the method for using LiDAR sensor has considering to detect nearby objects and accurately measure the separation distance in the autonomous navigation. It is calculates the distance by recognizing the time differences between the reflected beams and it allows precise distance measurements. But it also has the disadvantage that the recognition rate of object in the atmospheric environment can be reduced. In this paper, point cloud data by triangular functions and Line Regression model are used to implement measurement algorithm, that has improved detecting objects in real time and reduce the error of measuring separation distances based on improved reliability of raw data from LiDAR sensor. It has verified that the range of object detection errors can be improved by using the Python imaging library.
Keywords
LiDAR sensor; Line regression model; Distance measurement algorithm; Object detection algorithm; Raw data;
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