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Complex sensorial systems used for the planning of some intelligent vehicles needed for the transport of the persons with handicaps

机译:复杂的感觉系统,用于规划需要使用障碍物运输人员所需的智能车辆

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This article presents complex sensorial systems used for the planning of some intelligent vehicles that have the mission to transport persons with handicaps inside of a building (or in a room). The cars work in a varied land, with walls, chairs, domestic appliances, lockers, and other obstacles that it might meet in its way (this obstacles are present from the beginning in the studied land or they can appear in every moment) and whom it might avoid. The cars can leave all at one moment or individually. They can meet on their way, but they must avoid the collisions by communicating between them through the server. The machines are equipped with complex sensorial systems like video cameras, transducers, proximity sensors, neuro-fuzzy logic. Sequential rapid algorithms - like Strassen's and Winograd's - are used for the matrices multiplication (by using parallel calculus) and Dijkstra's algorithm for the calculus of the optimum road between two points by using parallel programming.
机译:本文介绍了用于规划一些智能车辆的复杂感觉系统,该智能车辆将在建筑物内(或在房间里)内使用障碍物的特派团运输。汽车在各种各样的土地上工作,带墙壁,椅子,家用电器,储物柜和其他障碍物,它可能以其方式相遇(这障碍从学习的土地中的开始存在,或者他们可以在每一刻出现)它可能会避免。汽车可以在一瞬间或单独留下所有。他们可以在路上见面,但他们必须通过服务器之间通信来避免碰撞。这些机器配备了复杂的感觉系统,如摄像机,传感器,接近传感器,神经模糊逻辑。顺序快速算法 - 类似于斯特索队和WinoGrad的 - 用于通过使用并行编程的两点之间的最佳道路的最佳道路演算的矩阵乘法(通过使用并行微积分)和Dijkstra算法。

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