摘要
车辆视觉导航算法的硬件实现具有实际意义,是目前的研究热点之一;为克服传统算法硬件设计实现比较复杂、调试困难、对设计人员要求较高等缺点,对基于高级语言的复杂算法硬件设计实现方法进行了研究;分析了基于Handel-C语言的道路识别算法FPGA硬件设计与实现过程,并进行了实验验证;实验结果表明,和目前采用的VHDL语言等设计方法相比,该方法具有设计灵活, 开发周期短、资源利用合理等优点,同时易于软硬件协同设计。
The hardware implementation of algorithms is a focus in vehicles vision navigation research. In order to overcome the shortcomings of the eonventional designing methods of hardware imptementation, such as complieated process, difficult debugging and rigid requirements on designer, hardware implementation of complex algorithm based on advanced language is studied. The method for designing and implementation of road detection algorithms on FPGA by Handel-C is presented, and validated by experiments. The results indicated that this method is feasible with so many merits, such as flexibility in designing, short time-to-market, the reasonable utilization of hardware resources, and convenient co-designing of software and hardware, in contrast to currently used methods, such as VHDL.
出处
《计算机测量与控制》
CSCD
2005年第10期1115-1118,共4页
Computer Measurement &Control
基金
国家自然科学基金项目(60374008)航空科学基金项目(04152068)南京航空航天大学科研创新基金项目(S0271-033)。
