LIDAR simulation method for low-cost repetitive validation

초록

Developments in light detection and ranging (LIDAR) have enabled its application in unmanned automotive technology, and various methods using LIDAR are now being proposed. However, it is more difficult to obtain a ground truth dataset to evaluate the performance of algorithms that use a quantity of three-dimensional (3D) points as compared to those that require only 2D images. This paper describes an approach to creating a ground truth dataset for verifying a variety of algorithms by recording the data on detected objects through simulation in virtual space. This approach is able to verify the performance of algorithms in a variety of environments with less cost than the use of actual LIDAR. © Springer Science+Business Media Singapore 2015.

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