权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Optimal VLSI Design for a Highly-Safe Intelligent Vehicle Based on a System Integration Theory

基于系统集成理论的高安全智能汽车超大规模集成电路优化设计

基本信息

批准号：
17300009
负责人：
KAMEYAMA Michitaka
金额：
$ 8.58万
依托单位：
Tohoku University
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2005
资助国家：
日本
起止时间：
2005 至 2007
项目状态：
已结题

项目摘要

Intelligent algorithms, advanced VLSI architectures and a system integration theory are studied to develop a highly-safe intelligent vehicle.(1) System-Application-Level Design TheoryA real-world intelligent integrated system consists of three basic modules of environment recognition, prediction or estimation, and behavior planning. A system integration theory including derivation of performance specification is studied to bridge the gap between the various design levels as well as their VLSI-oriented intelligent algorithms.(2) Processing Module for Highly-Safe Intelligent VehiclesVLSI-oriented algorithms for road extraction, vehicle extraction and human extraction using 3-dimensional image information are developed. Moreover, motion estimation of a vehicle is done based on Bayesian Network The problem is equivalent to estimation of a driver's intention. The driver's intentions are hierarchically defined, so that the designed Bayesian Network becomes as simple as possible. Then, causal relation between the intentions is discussed to reflect the real-world motion process.(3) Optimal Design Theory of VLSI Processors for Intelligent Integrated SystemsTo achieve power minimization under a time/area constraint, high-level synthesis techniques are investigated based on scheduling and allocation. One typical example is a parallel VLSI for 3-dimensional image processing with optimal memory allocation which solves the data transfer bottleneck between processing elements and memory modules.(4) Reconfigurable VLSI ComputingFine-grained reconfigurable VLSIs for real-world applications superior to the conventional FPGAs are designed and implemented based on new architectures such as direct allocation of a control-data-flow graph, a bit-serial arithmetic operation, a dynamic control of power dissipation, and a logic-in-memory architecture utilizing nonvolatile devices.

研究智能算法、先进的VLSI架构和系统集成理论，开发高度安全的智能车辆。(1)系统应用级设计理论现实世界的智能集成系统由环境识别、预测或估计和行为规划三个基本模块组成。研究了包括性能规范推导在内的系统集成理论，以弥合不同设计水平及其面向VLSI的智能算法之间的差距。(2)高安全智能车辆处理模块开发了利用3维图像信息进行道路提取、车辆提取和人体提取的面向VLSI的算法。而且，车辆的运动估计是基于贝叶斯网络完成的。问题相当于估计驾驶员的意图。驾驶员的意图被分层定义，使得设计的贝叶斯网络变得尽可能简单。然后，讨论意图之间的因果关系以反映现实世界的运动过程。(3)智能集成系统的VLSI处理器的优化设计理论为了在时间/区域约束下实现功耗最小化，研究了基于调度和分配的高级综合技术。一个典型的例子是用于 3 维图像处理的并行 VLSI，具有最佳的内存分配，解决了处理元件和内存模块之间的数据传输瓶颈。（4）可重构 VLSI 计算优于传统 FPGA 的细粒度可重构 VLSI 是基于新架构设计和实现的，例如直接分配控制数据流图，位串行算术运算、功耗的动态控制以及利用非易失性器件的内存中逻辑架构。