Action-based Road Horizontal Shape Recognition
نویسندگان
چکیده
This paper presents a new action-based shape model concept for road horizontal shape recognition using monocular color image obtained by vehicle-mounted camera. It classifies the road horizontal shape into straight, curve, curve-in and curve-out four models in order to obtain the simple road shape description relating to the vehicle control actions directly. Contrary to other road shape recognition methods, this approach is simpler, faster and directly relating to vehicle control actions, by taking the driving experiences of human being and the highway construction rules into account. Experiments on synthetic images and real outdoor road scenes show the effectiveness of this approach.
منابع مشابه
Search Space Reduction for Farsi Printed Subwords Recognition by Position of the Points and Signs
In the field of the words recognition, three approaches of words isolation, the overall shape and combination of them are used. Most optical recognition methods recognize the word based on break the word into its letters and then recogniz them. This approach is faced some problems because of the letters isolation dificulties and its recognition accurcy in texts with a low image quality. Therefo...
متن کاملSpeed Sign Recognition using Shape-based Features
An efficient shape-based recognition system of U.S. speed limit road signs is presented in this paper. The proposed system accomplishes speed sign detection and recognition processes using three main stages, namely, geometrical-based detection of rectangular road signs, shape-based segmentation and feature extraction, and pattern classification using a K-nearest neighbor classifier (KNN). Twent...
متن کاملSurveillance of Vehicle Objects with Aerial Images Using Localization and Posture Based Local Gradient Model
Traffic scenes in road network needs to be monitored in different dimensional perspective to address the issues generated at various time instances. One of the major challenges observed in traffic scenes in road network is to address the vehicle tracking at different dimensional perspective for various time instances. One such application that has received greater significance is the mechanism ...
متن کاملRoad Shape Classification for Detecting and Negotiating Intersections
This paper presents an approach to visually classifying the high-level geometry of the road ahead of a vehicle as a section with continuous curvature parallel edges or an intersection containing right-angled legs. The default behavior of the system is snake-based tracking of parallel road edges for curvature estimation. A separate process segments the road surface from the background using colo...
متن کاملAdvanced OR and AI Methods in Transportation ROAD AND TRAFFIC SIGN DETECTION AND RECOGNITION
This paper presents an overview of the road and traffic sign detection and recognition. It describes the characteristics of the road signs, the requirements and difficulties behind road signs detection and recognition, how to deal with outdoor images, and the different techniques used in the image segmentation based on the colour analysis, shape analysis. It shows also the techniques used for t...
متن کامل