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基于 ADAS 平臺的下線(xiàn)標定系統設計與實(shí)現
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上海電力大學(xué)

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Design and Implementation of Factory Calibration System Based on ADAS Platform
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    摘要:

    標定是汽車(chē)駕駛輔助系統中至關(guān)重要的一環(huán),為了使駕駛輔助系統更加精確地感知目標,提升汽車(chē)駕駛主動(dòng)安全性,設計了一種針對攝像頭和毫米波雷達的多傳感器下線(xiàn)標定系統;該系統通過(guò)利用攝像頭和毫米波雷達自身結構特性建立數學(xué)模型,計算出各傳感器的外部參數,將不同傳感器感知的目標數據轉換到一個(gè)統一的世界坐標系下,實(shí)現了攝像頭和毫米波雷達的單獨標定和聯(lián)合標定;采用了基于CAN總線(xiàn)的UDS診斷服務(wù)作為通信媒介,實(shí)現了會(huì )話(huà)控制、安全訪(fǎng)問(wèn)、待機握手、例行程序控制等診斷服務(wù),設計了符合前裝量產(chǎn)標準的下線(xiàn)標定流程;為方便產(chǎn)線(xiàn)工人操作和簡(jiǎn)化前裝量產(chǎn)中的操作步驟,設計了專(zhuān)門(mén)針對前裝量產(chǎn)場(chǎng)景下的上位機標定軟件;經(jīng)過(guò)實(shí)驗測試驗證了該下線(xiàn)標定系統的可靠性、實(shí)時(shí)性和準確性,標定之后的測距誤差均值在0.25m附近,毫米波雷達投影點(diǎn)與圖像檢測框坐標匹配的比率是93.2%,可以滿(mǎn)足汽車(chē)輔助駕駛系統中攝像頭和毫米波雷達感知精度的要求。

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    Calibration is a crucial part of the car driving assistance system. In order to make the driving assistance system perceive the target more accurately and improve the active safety of car driving, a multi-sensor Factory calibration system for cameras and millimeter-wave radars is designed. The system establishes a mathematical model by using the structural characteristics of the camera and the millimeter-wave radar, calculates the external parameters of each sensor, and converts the target data perceived by different sensors into a unified world coordinate system, realizing the camera and the millimeter-wave radar joint calibration. The Unified Diagnostic Services(UDS) based on CAN bus is used as the communication medium, which realizes the diagnostic services such as session control, security access, standby handshake, routine program control, etc., and designs the factory calibration process that conforms to the standard of pre-installation and mass production. In order to facilitate the operation of the production line workers and simplify the operation steps in the front-loading mass production, the upper computer calibration software specially designed for the pre-installation production is designed. The reliability, real-time performance and accuracy of the factory calibration system have been verified by experimental tests. The average value of ranging error after calibration is around 0.25m, and the ratio of the millimeter-wave radar projection point to the coordinates of the image detection frame is 93.2%. The calibration system can meet the perception accuracy requirements of cameras and millimeter-wave radars in automotive assisted driving systems.

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仲正,宋小軍.基于 ADAS 平臺的下線(xiàn)標定系統設計與實(shí)現計算機測量與控制[J].,2022,30(10):148-154.

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  • 收稿日期:2022-05-18
  • 最后修改日期:2022-06-10
  • 錄用日期:2022-06-10
  • 在線(xiàn)發(fā)布日期: 2022-11-01
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