Cost-Effective Hybrid Vision System for Intelligent Highway Applications

该项目的目标是为机器视觉提供一种新的经济高效的架构，该架构将在智能公路应用中进行评估。三种智能图像传感器的组件正在开发中，并集成到一个异构视觉系统中。智能传感器使用模拟、数字和混合信号技术来执行自适应巡航控制、车道检测和碰撞时间测量的三维测量。所有这些任务都将用于智能车辆内的机器视觉系统，并将在合同的后期阶段在智能车辆应用中进行测试。麻省理工学院正在对所有这些摄像头的第一版进行基础研究，而后期的开发、集成和测试将由工业合作伙伴进行。

The goal of this project is a new cost-effective architecture for machine vision, which will be evaluated for intelligent highway applications. Components of three smart image sensors are being developed and integrated into a heterogeneous vision system. The smart sensors use analog, digital, and mixed signal techniques to perform 3 dimensional measurement for adaptive cruise control, lane detection, and time-to-collision measurements. All of these tasks are intended for machine vision systems within intelligent vehicles, and will be tested in intelligent vehicle applications within the later stages of the award. MIT is performing basic research on the first versions of all of these cameras, while later development, integration, and testing will be carried out by industrial partners.