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

---APA Model pure pursuit algorithm

于 2019-05-06 发布
0 231
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

  • Win7BD
    Win7bd dounload disk
    2020-06-21 14:40:01下载
    积分:1
  • SVM EXAMPLE
    说明:  人工智能中利用SVM解决兵和王的问题,利用matlab语言编写(The soldier and the king)
    2019-11-26 09:55:00下载
    积分:1
  • ElectronicScale
    基于LabVIEW软件设计数字电子秤系统,阐述系统硬件电路构成、软件设计思想和具体实现。系统应用虚拟仪器技术进行自动测量、处理和显示,实现电子秤的智能化,并且要求具有测量精度高、界面友好、运行稳定可靠、功能便于扩展。(LabVIEW-based software design digital electronic weighing system, the system hardware circuits, software design idea and concrete implementation. System Virtual Instrument Technology to carry out automatic measurement, processing and show that implementation of intelligent electronic scales, and requires a measurement of high precision, user-friendly, stable and reliable operation, function convenient for extension.)
    2009-03-14 21:22:11下载
    积分:1
  • 用api函数写的仿IE分割条,人民币金额小写转大写函数等
    用api函数写的仿IE分割条,人民币金额小写转大写函数等-with api function was modeled in IE division of the yuan to the amount of capital lowercase function etc.
    2023-03-01 20:15:04下载
    积分:1
  • 断路器控制,适用于220KV电压等级的变电站断路器的二次控制回路...
    断路器控制,适用于220KV电压等级的变电站断路器的二次控制回路-Circuit breaker control voltage applied to 220KV substation secondary circuit breaker control circuit
    2022-11-21 02:05:03下载
    积分:1
  • 用c语言编写的Dijkstra算法的源代码。代码短小精炼有注释
    用c语言编写的Dijkstra算法的源代码。代码短小精炼有注释-Using c language source code Dijkstra algorithm. Refining short code annotated
    2022-04-09 21:29:24下载
    积分:1
  • chaostest
    混沌0-1程序,这是学习混沌基本也是必不可少的程序,分享一下(Chaos 0-1 program, this is to learn chaos basic and essential program, share a little)
    2021-03-12 16:59:25下载
    积分:1
  • 1
    说明:  51单片机中点亮第一个灯的c程序在压缩包中包含c程序和keil工程等等,需要的可自行打开观看(The C program that lights the first lamp in the 51 single chip computer includes C program and keil project in the compression package. It can be opened and watched by itself if needed.)
    2020-06-21 05:20:01下载
    积分:1
  • jisuanjiwangluo4
    校园网网络组建方案 1、采用双核心技术,不但可以起到让设备进行冗余备份,而且还可以进行中心数据通信负载均衡,有效减轻中心设备减清负荷,保证核心层的稳定性和可靠性; 2、四个汇聚层到核心采用链路全冗余,汇聚层之间单独再加一条链路,使得各个汇聚层之间的访问在汇聚层终结; 3、网络核心、楼宇汇聚和接入产品都具有病毒防范、拒绝DDOS攻击和防扫描等安全功能,不但在不同的网络环境下都能做到快速有效的控制,而且也可以应对突发性的安全的事件,确保了网络的稳定运行; 4、校园网的信息点覆盖整个校园,教室、办公室和宿舍等地方都是十分开放的,很多人都可以自由出入这些地方,任何一个人都可以利用这些地方的信息点,通过便携连接到学校办公内部网,这将对校园网造成巨大安全隐患。全网接入采用统一认证技术,保证了只有合法授权的用户才能使用内部或外部网络,而且还能对网络的使用情况进行了审计; 网络需求分析 网络业务分析 本次方案要求在铜缆、光纤的物理线路之上,用一套设备实现三套逻辑网络交换平台,实现三层路由交换机制,作为校园业务应用承载体系,并通过一定的带宽控制和Qos策略保证各网络平台的足够带宽。 网络流量分析(err)
    2008-12-31 12:28:55下载
    积分:1
  • tc3.0 is based programming software oh
    tc3.0 很基础的编程软件哦~解压修改路径直接用~不需要安装-tc3.0 is based programming software oh-extracting revised path directly with no need to install ~
    2022-04-25 11:46:11下载
    积分:1
  • 696516资源总数
  • 106914会员总数
  • 0今日下载