登录
首页 » Others » ---APA Model pure pursuit algorithm

---APA Model pure pursuit algorithm

于 2019-05-06 发布
0 196
下载积分: 1 下载次数: 28

代码说明:

说明:  在matlab中,对目标车辆进行轨迹规划后,采用单点预瞄法进行路径跟踪(In matlab, after the trajectory planning of the target vehicle, the single point preview method is adopted to track the path)

文件列表:

---APA Model pure pursuit algorithm\APAmodelpurepursuit.err, 166817 , 2016-10-31
---APA Model pure pursuit algorithm\APAmodelpurepursuit.mdl, 125136 , 2016-12-13
---APA Model pure pursuit algorithm\APAmodelpurepursuit_sfun.mexw32, 303104 , 2016-12-22
---APA Model pure pursuit algorithm\APAmodel_sfun.mexw32, 318976 , 2016-10-25
---APA Model pure pursuit algorithm\hs_err_pid2684.log, 16409 , 2016-10-31
---APA Model pure pursuit algorithm\Pure Pursuit参考文献\一种纯追踪模型改进算法.pdf, 332350 , 2016-10-26
---APA Model pure pursuit algorithm\Pure Pursuit参考文献\基于Pure Pursuit算法的智能车路径跟踪.pdf, 5958468 , 2016-10-26
---APA Model pure pursuit algorithm\Pure Pursuit参考文献\重点参考!!!基于纯追踪曲线跟踪模型的车辆自动导航_黄沛琛.pdf, 531630 , 2016-10-31
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\info\binfo.mat, 4232 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.bat, 75 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.c, 12034 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.exp, 50 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.h, 892 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.lib, 2764 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.lmk, 2765 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.lmko, 919 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun.obj, 9392 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun_debug_macros.h, 15780 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun_registry.c, 6622 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\APAmodel_sfun_registry.obj, 31953 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c1_APAmodel.c, 29467 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c1_APAmodel.h, 960 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c1_APAmodel.obj, 25630 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c2_APAmodel.c, 26681 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c2_APAmodel.h, 960 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c2_APAmodel.obj, 21973 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c3_APAmodel.c, 25802 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c3_APAmodel.h, 960 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c3_APAmodel.obj, 21369 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c4_APAmodel.c, 32545 , 2016-10-24
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c4_APAmodel.h, 960 , 2016-10-24
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c4_APAmodel.obj, 26336 , 2016-10-24
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c5_APAmodel.c, 29468 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c5_APAmodel.h, 960 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c5_APAmodel.obj, 25630 , 2016-10-18
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c6_APAmodel.c, 39603 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c6_APAmodel.h, 960 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c6_APAmodel.obj, 35283 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c7_APAmodel.c, 17512 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c7_APAmodel.h, 767 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c7_APAmodel.obj, 15049 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c8_APAmodel.c, 25800 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c8_APAmodel.h, 960 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\c8_APAmodel.obj, 21369 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\lccstub.obj, 384 , 2016-10-13
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\rtwtypes.h, 9003 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src\rtwtypeschksum.mat, 949 , 2016-10-25
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\info\binfo.mat, 4525 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.bat, 86 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.c, 10061 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.exp, 61 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.h, 947 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.lib, 2876 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.lmk, 2792 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.lmko, 940 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun.obj, 8419 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun_debug_macros.h, 16506 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun_registry.c, 6840 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\APAmodelpurepursuit_sfun_registry.obj, 32053 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c10_APAmodelpurepursuit.c, 54408 , 2016-12-13
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c10_APAmodelpurepursuit.h, 1050 , 2016-12-13
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c10_APAmodelpurepursuit.obj, 41764 , 2016-12-13
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c1_APAmodelpurepursuit.c, 30616 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c1_APAmodelpurepursuit.h, 1040 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c1_APAmodelpurepursuit.obj, 25978 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c2_APAmodelpurepursuit.c, 27830 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c2_APAmodelpurepursuit.h, 1040 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c2_APAmodelpurepursuit.obj, 22321 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c3_APAmodelpurepursuit.c, 26951 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c3_APAmodelpurepursuit.h, 1040 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c3_APAmodelpurepursuit.obj, 21725 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c4_APAmodelpurepursuit.c, 43638 , 2016-10-31
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c4_APAmodelpurepursuit.h, 1040 , 2016-10-31
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c4_APAmodelpurepursuit.obj, 33798 , 2016-10-31
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c5_APAmodelpurepursuit.c, 30617 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c5_APAmodelpurepursuit.h, 1040 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c5_APAmodelpurepursuit.obj, 25978 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c9_APAmodelpurepursuit.c, 32437 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c9_APAmodelpurepursuit.h, 1040 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\c9_APAmodelpurepursuit.obj, 26142 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\lccstub.obj, 384 , 2016-10-27
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\rtwtypes.h, 9003 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src\rtwtypeschksum.mat, 972 , 2016-12-22
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\info, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun\src, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\info, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun\src, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self\sfun, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self\sfun, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel\_self, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit\_self, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodel, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj\APAmodelpurepursuit, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj\_sfprj, 0 , 2017-01-11
---APA Model pure pursuit algorithm\Pure Pursuit参考文献, 0 , 2017-01-11
---APA Model pure pursuit algorithm\slprj, 0 , 2017-01-11
---APA Model pure pursuit algorithm, 0 , 2017-01-11

下载说明:请别用迅雷下载,失败请重下,重下不扣分!

发表评论

0 个回复

  • i2c总线接口驱动程序
    i2c总线接口驱动程序--I2c omni_line interface driver
    2023-02-11 04:55:03下载
    积分:1
  • TI DSP 的封装说明,看看多管脚封装的形式,最多532脚
    TI DSP 的封装说明,看看多管脚封装的形式,最多532脚-TI DSP package that look more pin package in the form of up to 532 feet
    2023-03-20 09:00:03下载
    积分:1
  • STM32F103C8T6软件升级IAP IAP-Bootloader V1.0
    说明:  STM32F103C8T6软件升级IAP的Bootloader文件实测可用(STM32F103C8T6 Software Upgrade IAP Bootloader File is available)
    2020-06-25 05:20:02下载
    积分:1
  • DGM
    灰色系统中,基于分数阶累加的DGM模型的调用函数,函数的名字比较奇怪,因为是在组合程序中使用的。使用时将该调用函数的名字更改即可。 为使得程序执行,相应的累加累减函数同时给出。(The function of DGM model which is imprtant model in the grey system.)
    2020-12-02 17:19:25下载
    积分:1
  • Acc. No. DC 1850
    说明:  二型模糊方面的一篇论文,里面有降型过程的分类和代码(A paper on type II fuzziness, which contains the classification and code of the type reduction process)
    2020-06-03 10:17:28下载
    积分:1
  • edge_linking
    edge linking algorithm
    2018-11-28 18:21:15下载
    积分:1
  • 文档管理程序VB源码版
    文档管理程序VB源码版,可添加、复制、搜索文档内容,简单的文档管理,或者说是文字内容管理程序,直接在程序窗口中添加文档内容,然后点击“添加”按钮后,即可将内容添加到dat数据库中保存。
    2022-03-18 08:17:07下载
    积分:1
  • BCEncode
    说明:  128条码打印DLL,通用平台都可以调用(128 bar code printing DLL)
    2019-04-21 19:54:54下载
    积分:1
  • This is a paper is published Kalman1960 on Kalman Filtering of the original text...
    这是一篇论文,是Kalman1960发表的关于Kalman Filtering 的原文,具有非常高的参考价值,学习信号处理的人都必须看这篇论文-This is a paper is published Kalman1960 on Kalman Filtering of the original text, with very high reference value, learning signal processing would have to look at this paper
    2023-04-02 18:25:03下载
    积分:1
  • 人脸识别CNN
    说明:  用深度学习来做人脸识别(CNN),包含完整步骤并可以在matlab平台运行(Using deep learning to do face recognition (CNN), including complete steps and can be run in Matlab platform)
    2020-02-06 23:19:08下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载