搜索资源列表
road.rar
- 用opengl和VC++写成的道路草绘图系统 路面颜色真实，可分别设置左右多车道，可旋转，可画弯曲道路,VC++ with opengl, and written in the road surface color of real grass mapping system can be rotated, flexible
LaneDetect
- 用Hough变换检测车道直线，用MATLAB自带的Hough(),houghlines(),houghpeaks()实现-Lane with a straight line Hough transform detection, using MATLAB' s own Hough (), houghlines (), houghpeaks () to achieve
LaneDetectionAlgorithmsedonaHyperbol
- 这是一个基于抛物线模型的车道线检测算法模型方法，并详细介绍了车道线分离警告系统的设计步骤。-This is a model based on the parabolic model for lane-line detection algorithm method, and details of the lane line separating warning system design steps.
a
- 本论文从道路环境理解的角度出发，针对智能车辆视觉导航中的车道保持问题，运用单目视觉技术对行驶车辆前景中的道路边界和车道线进行检测，以获取本车与当前道路的相对位置信息和方向信息。-In this paper, the understanding from the perspective of road environment for visual navigation of intelligent vehicle driveway to keep the issue, using monocula
AutoCali
- 完成摄像机自动标定，通过提取道路的车道线并参考道路规范参数实现对摄像机的自动标定-The completion of the camera auto-calibration, by extracting road lane with reference to the road specification parameters to realize the automatic camera calibration
4
- 基于单目视觉的高速公路车道保持与距离测量-Monocular vision-based Lane Keeping and Distance Measurement
lanedeparturesystem
- 几篇基于计算机视觉技术的车道偏离预警系统的文章。-The safety of driving cars could be signifcantly increased by using driver assistance systems which interpret traffic situations autonomously and support the driver。
3
- 交通流量检测系统是一套计算机系统，它运用了图象识别技术和图象压缩技术。用一个摄像头安装在高速公路或城市内公路上，计算机对图象进行实时处理，计算机识别车道与车辆，对车辆进行统计与记录。-Traffic detection system is a computer system, which used the image recognition and image compression technology. With a camera installed in the highway or ci
ColorCluster
- 以车道检测项目为例，依据颜色信息进行聚类，Matlab代码实现。-To lane detection project, for example, clustering based on color information, Matlab code.
车辆及车道线检测
- 车辆及车道线检测 车辆及车道线检测 车辆及车道线检测 车辆及车道线检测
图像处理作业
- 车道线识别，matlab程序，仅仅供给大家参考，有一定不确定的地方(Lane identification, Matlab procedures, only to provide your reference, there must be uncertainty)
lane_detection
- 基于VS+opencv,实现实时车道线检测。首先通过边缘检测，再运用霍夫变换进行直线检测。(VS+opencv.Real time lane detection)
Lane detection
- 车道线识别源代码，供各位参考的，有什么问题还请提出大家一起交流。(Lane identification source code.)
project_4_advanced_lane_finding
- 车道线跟踪识别的源代码，用于和各位交流，请多指教。(Lane tracking identification of the source code, for communication with you, please enlighten.)
devkit_scene_flow
- 开发工具,道路车道线识别的的工具包，很有参考价值(development toolkit for road lane detection ,very useful ,really recommeng it to everyone working on lane detections)
四车道
- 四车道元胞机模型，用于数学建模，用处多多，可进行适当修改(Four lane cellular automaton model can be used for mathematical modeling.)
halcon
- 车道线识别：能较好地识别高速公路上的车道线(Can better identify the Lane Lane on the highway)
几种车道检测论文
- 主要是提供了几种车道检测办法，很容易理解跟实现(Mainly provides several ways to detect lanes, it is easy to understand and achieve)
车道保持国标
- 车道保持国标,帮助同学理解车道保持仿真工况，对于在carsim中设置仿真工况有很好的效果。(The lane maintains the national standard, helping students understand the lane to maintain the simulation conditions, and has a good effect on setting the simulation conditions in carsim.)
单－双－三车道元胞自动机仿真
- 能够反映双车道下的元胞自动机模型运行情况(It can reflect the operation of cellular automata model in two lanes)