Smart Vision Sensors: Analog VLSI Systems for Integrated Image Acquisition #and arly Vision Processing

该项目的目标是为计算视觉过程早期的几个任务开发定制的模拟VLSI硬件。这项工作涉及硬件开发以实现现有算法和算法修改以匹配硬件功能。本研究的目标是建立一个单片机运动传感器和分析仪，将有助于机器人导航。传感器阵列可以放置在透镜的焦平面上，直接从环境中获取双目图像输入，输出由场景的强度场、速度场和景深图组成。该系统可作为前端处理器用于各种视觉应用，如机器人导航和物体识别。这个团队的研究人员取得了令人瞩目的研究成果。该团队在视觉算法、模拟电路设计、系统设计和并行计算方面拥有专业知识。这是一个优秀的团队，有潜力在此过程中取得重大发现。麻省理工学院的实验室设施和学术环境为这项工作提供了良好的基础。强烈建议为这项建议提供资金。

The objective of this project is to develop custom analog VLSI hardware for several tasks that occur early in the computational vision process. The work involves both hardware development to implement existing algorithms and algorithm modification to match hardware capabilities. A goal of this research is to build a single-chip motion sensor and analyzer that will be useful for robot navigation. The sensor array can be placed at the focal plane of lenses to acquire binocular image input directly from environment, and the outputs will consist of the intensity field, velocity field and depth map of the scene. The system can be used as a front-end processor for a variety of vision applications such as robot navigation and object recognition. The researchers in this team have impressive research achievements. The team has expertise in algorithms for vision, analog circuit design, system design and parallel computation. It is an excellent group with the potential to make significant discoveries along the way. The laboratory facilities and intellectual environment at the Massachusetts Institute of Technology are an excellent basis for the proposed work. The funding of this proposal is strongly recommended.