汽车本身的结构, 决定了汽车周围存在大量视野盲区, 驾驶员无法对行车周围环境做出准确判断, 不利于安全驾驶. 全息透明影像能够为驾驶员提供行车周围以及车底全部盲区信息辅助安全驾驶. 为解决图像拼接处有明显拼接缝的问题, 提出了基于距离的Alpha图像拼接算法, 并为拼接算法重新设计了三维模型. 对透明底盘功能做了如下3方面优化. 改进自行车模型算法, 在不影像效果的前提下, 减小了计算复杂度. 利用查表法提高方向盘角度转换为轮转角的精度, 解决了透明底盘与周围拼接错位问题. 采用分层渲染的方法, 优化透明底盘功能拼接缝问题. 实验表明该技术能够有效地提升渲染效果.
The structure of cars determines that there are a large number of blind spots around them, and thus a driver cannot make accurate judgments on the surrounding environment, which is not conducive to safe driving. The holographic transparent image can provide the driver with information on all blind spots around and under the vehicle to assist in safe driving. To solve the problem of obvious seams in image stitching, a distance-based Alpha image stitching algorithm is proposed, and a three-dimensional (3D) model is redesigned for the stitching algorithm. The transparent chassis function is optimized in the following three aspects. The bicycle model algorithm is improved to reduce the computational complexity on the premise of no image effect. The table look-up method is used to improve the accuracy of the conversion of the steering wheel angle into the wheel angle, and the problem of stitching dislocation between the transparent chassis and the surroundings is solved. The method of layered rendering is adopted to optimize the seam problem of the transparent chassis function. The experiments indicate that this technology can effectively improve the rendering effect.