基于路面积水反射模型和对称特征的车道检测方法

本文提出了一套在恶劣天气下(如下小雨或者雨后)有效提高车道检测准确性和稳定性的车道检测的方法和系 统。首先,本文提出并实现了一个有效的路面积水反射模型。它结合摄像头模型,能够拟合实际路面积水的镜面反射情 况,从而降低路面积水的镜面反射和增强车道标志。接着,本文提出了一种基于对称特征的车道标志特征提取和检测方 法。其中包括基于对称特征的车道消失点检测方法和平行车道模型参数拟合方法。最终,通过结合车道的先验知识,提 出的方法能够在环境较差情况下,提高车道检测的稳定性和正确率。     

基于边缘对称性和HOG的行人检测方法

传统基于HOG特征的行人检测方法存在检测速度慢的问题。为此,提出一种基于边缘对称性和HOG的行人检测方法。利用对称差分提取输入窗口的垂直边缘,根据垂直边缘的对称性快速检测出行人候选区,采用HOG特征和线性支持向量机对行人候选区进行验证。实验结果表明,该方法在保持传统方法检测率的同时,能提高检测速度。     

Design of practical optimum JIT systems by integration of computer simulation and analysis of variance

This study introduces a framework for re-design of manufacturing systems into practical optimum just-in-time systems by integration of computer simulation and analysis of variance. The conventional JIT approach is mostly applicable to static production systems and the dynamic production systems require a more practical integrated JIT approach. In addition, the re-design of existing dynamic systems into just-in-time systems must follow a practical path, which can be a cumbersome task. This means, a unique practical optimum just-in-time system that considers system's limitations and its dynamic behavior must be designed. To achieve the objective of this study, first, the actual system must be totally modeled and simulated. Second, the integrated simulation model is tested and validated by analysis of variance. Third, the optimum (most fitted) JIT design is developed and tested by modeling actual system's limitations and its dynamic behavior. The framework is applied and tested for an auto production line and a heavy rolling mill workshop.     

Estimation of moving vehicle locations using wheel shape information in single 2-D lateral vehicle images by 3-D computer vision techniques

An approach to the estimation of moving lateral vehicle locations for driving assistance using wheel shape information in single 2-D vehicle images by 3-D computer vision techniques is proposed. The location scheme is supposed to be performed on a vehicle with a camera mounted on the front bumper. An analytical solution is applied to estimate locations of the lateral vehicle. Firstly, the rear wheel shape of a lateral vehicle moving in a nearby lane is imaged. By using the Hough transform, the projected wheel shape, which is an ellipse, is detected. Secondly, the equation of the detected ellipse is used to infer the orientation angle of the lateral vehicle with respect to the camera view direction. Finally, the center of the ellipse shape is used to determine the relative position of the lateral vehicle with respect to the camera lens center. Moreover, an edge-point verification algorithm is utilized to extract the ellipse shape more precisely in the image processing stage. Both computer simulated and real images are tested and good experimental results show the effectiveness of the proposed approach for estimating lateral vehicle locations. The results are useful for driving assistance and vehicle collision avoidance and are discussed in detail.     

B-甲基硼杂噁唑烷催化不对称合成反应机理研究

B-甲基硼杂噁唑烷在羰基化合物的不对称还原反应中有很高的立体选择性，对B-甲基硼杂噁唑烷在不对称合成反应中的催化机理的研究将对以后不对称合成反应催化剂的选择有较强的理论指导作用。本文利用量子化学的半经验方法，通过对B-甲基硼噁唑烷在反应中形成的各种可能的中间过渡态的能量和前线轨道能的计算，进一步对反应的机理进行了分析，发现原来被认为是优势的椅式六元环过渡中间态构像并不象想象中那样稳定，计算结果表明船式的中间过渡态A24形成较为对称的LUM0轨道，活化能较低，所得产物与实际情况相符，被确定为反应中间过渡态的构像，得出了定性的结论，在理论上为以后的不对称合成催化剂的设计和应用提供了一定的指导。