搜索资源列表
Machine-Vision
- 车道线检测与车辆检测,通过hough变换实现-Lane detection and vehicle detection, hough transform by
the-code-of-cellular-automema-model
- 这是用C语言编写的单或多车道元胞自动机模型,能用-this is the code of the cellular autonema model which is written in language C
TrafficSimulating
- 原胞自动机模拟程序 可以应用于单车道或者多车道 单车道主要 包括信号灯 跟随 多车道可以包含变道 -program for overtaking using CA model
jiaotongdeng
- 十字路口交通灯,可设置控制时间,具有车道和人行道指示灯-Crossroads traffic lights can be set to control the time, with a driveway and sidewalk lights
openCV...Track
- openCV中的代码 有2ROI Hough检测直线 kalman跟踪小球 播放视频 车道线检测工程代码 -openCV code 2ROI Hough kalman and other thing
P0904
- 基于matlab的,有关车道中心线的定位,希望对你有帮助-Based on the relevant lane centerline positioning matlab, I hope to help you
jiaotongdeng
- 主、支两条交叉道路上的车辆交替行走,主道上通行的时间为30s,支道上通行的时间为25s。 在绿灯转为红灯时,要求绿灯先闪烁3秒,黄灯亮5秒,才能变换运行车道。-Lord, vehicles on the road supporting two intersecting alternating walking passage of time is the main trail 30s, supported the passage of time trail 25s. When the gree
twolane18-
- 2014北美数学建模A题 元胞自动机 双车道模型 无规则twolane18(元胞数目一个格子代表一个汽车7。5米) - 副本-2014 North American Mathematical Modeling A title two-lane cellular automaton model no rules twolane18 (a number of cellular lattice represents a car 7.5 meters)- a copy of the
MachineVision
- 结构化道路检测与跟踪 hough变化检测车道线 中值滤波预测跟踪-Machine view using MFC to find the sign of constructed road
32131312312321njianceok
- 基于HOUGH变换的车道线检测和识别的程序,可以使用-Lane HOUGH transform detection and recognition based on the program, you can use
LaneDetector
- 该代码实现对城市中车道的检测,realize lane deetction in urban street written in c-realize lane deetction in urban street written in c++
jiatongdeng
- :甲车道和乙车道两条交叉道路上的车辆交替运行,甲车道为主车道,每次通车时间为60秒,乙车道为次车道,每次通车时间为30秒,要求黄灯亮3秒,并且1秒闪烁一次。有应急车辆出现时,红灯全亮,应急车辆通车时间10秒,同时禁止其他车辆通过。-traffic jam programe
1234
- 带数码管显示的交通灯模拟控制系统设计. 硬件方面:8253产生1HZ的方波,脉冲到8259的IR1端,产生中断,调中断服务子程序。在加入紧急车道后,单脉冲()连到8259的IRO端,产生一个高级的中断请求信号。 软件方面:主程序先对各个硬件初始化,在开CPU中断,然后空操作,等待中断。执行低级中断(IR1)时,8255的PA口负责选数码管,PB口负责显示数字,用查表法可查到0~9的数码管编码。 采用循环扫描方法,人眼即可看到连续的二位数。当倒计时减到零时,对红绿灯取反。若手动上
20140519
- 基于opencv的车道线检测,做过实际的例子,在高速公路上实现了预定的目标-Opencv-based lane detection
hf
- 使用加强版霍夫变化,使得车道线识别率百分之百,不存在车道线断点。属于原创。-Using an enhanced version of the Hough changes, making lane hundred percent recognition rate, there is no lane breakpoint. Belong to the original.
Davinci_VLPR2_20120427
- 基于DM6446的车道线检测代码,可以标记识别出车道线、- The DM6446-based lane detection code, can be labeled to identify the lane,
car
- 2013年A题程序,车道交通的元胞自动机MATLAB程序-MATLAB celluar
CA_Nasch_3
- ca模型双车道情况下的代码,基于忽略了驾驶员的随机慢化过程的简单代码-code ca model two-lane situations, based on the slow stochastic process ignores the simple driver code
The-lane-edge-recognition
- 各种算子对车道线边缘识别的对比,其中包括车道线图像,也包含sobel,canny,prewritt算子的差异。-The operator of lane edge recognition
test-1
- 车道线检测,实验代码,本人已经验证过,可以直接使用,带有图片和实验结果-The lane line detection code