基于无人驾驶技术的图像处理

Image Processing Based on Driverless Technology

针对无人驾驶畸变矫正建模复杂、计算量大的问题,文章提出了一种新的路况信息提取和畸变矫正思路。首先进行路况信息的提取,而后再进行畸变矫正,这样简化了畸变矫正的计算量,同时较为完整地保留了路况信息。通过实验证实,该算法具有较好的适应性,在一定程度上满足了无人驾驶技术的要求。

In order to solve the problems such as complex model and large computation in distortion correction of driverless technology, a new method of traffic information extraction and distortion correction is pro- posed. The system extracts traffic information before distortion correction, which not only reduces the computational burden of distortion correction, but also reserves the whole traffic information. The experiment result shows that this algorithm is full of high adaptability and can satisfy the requests of driverless technology in a certain extent.