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FIELD THEORY BASED PERCEPTION FOR AUTONOMOUS VEHICLES

机译:基于领域理论的自主车辆感知

摘要

Technology described in this document can be embodied in a method that includes generating, using one or more processing devices of a vehicle operating in an environment, a discretized representation of the environment, including a plurality of cells. The cells are occupied by particles representing at least one of: an object, or a free space in the environment. Sensor data indicative of a state of at least one particle is received, and an update to a time-varying particle density function associated with a location of the particle in the dynamic occupancy grid is calculated from the sensor data and one or more models. The method further includes generating a prediction of occupancy of at least one cell in the discretized representation based on the updated particle density function, and operating the vehicle, using a controller circuit of the vehicle, based at least in part on the prediction.
机译:本文档中描述的技术可以以一种方法来体现,该方法包括使用在环境中操作的车辆的一个或多个处理设备来生成环境的离散表示,该离散表示包括多个单元。细胞被代表以下至少一项的粒子所占据:物体或环境中的自由空间。接收到指示至少一个粒子的状态的传感器数据,并且根据传感器数据和一个或多个模型来计算与动态占用网格中的粒子位置相关的随时间变化的粒子密度函数的更新。该方法进一步包括基于更新的粒子密度函数生成离散化表示中至少一个单元的占用的预测,以及至少部分基于该预测,使用车辆的控制器电路来操作车辆。

著录项

  • 公开/公告号DK201970302A1

    专利类型

  • 公开/公告日2020-08-20

    原文格式PDF

  • 申请/专利权人 APTIV TECHNOLOGIES LIMITED;

    申请/专利号DK2019PA70302

  • 发明设计人 HSUN-HSIEN CHANG;DMYTRO S. YERSHOV;

    申请日2019-05-10

  • 分类号G05D1/02;G06N7;

  • 国家 DK

  • 入库时间 2022-08-21 11:17:54

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