Camera Calibration by Vanishing Lines for 3-D Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer Vision and Image Understanding
Camera calibration for road applications
Computer Vision and Image Understanding
Digital Image Processing (3rd Edition)
Digital Image Processing (3rd Edition)
Experimental Evaluation of an Augmented Reality Visualization for Directing a Car Driver's Attention
ISMAR '05 Proceedings of the 4th IEEE/ACM International Symposium on Mixed and Augmented Reality
An Improved Linear-Parabolic Model for Lane Following and Curve Detection
SIBGRAPI '05 Proceedings of the XVIII Brazilian Symposium on Computer Graphics and Image Processing
High-Accuracy and Robust Localization of Large Control Markers for Geometric Camera Calibration
IEEE Transactions on Pattern Analysis and Machine Intelligence
An iterative image registration technique with an application to stereo vision
IJCAI'81 Proceedings of the 7th international joint conference on Artificial intelligence - Volume 2
Applying fuzzy method to vision-based lane detection and departure warning system
Expert Systems with Applications: An International Journal
A taxonomy and analysis of camera calibration methods for traffic monitoring applications
IEEE Transactions on Intelligent Transportation Systems
Survey of Pedestrian Detection for Advanced Driver Assistance Systems
IEEE Transactions on Pattern Analysis and Machine Intelligence
Expert Systems with Applications: An International Journal
Video-based lane estimation and tracking for driver assistance: survey, system, and evaluation
IEEE Transactions on Intelligent Transportation Systems
Expert Systems with Applications: An International Journal
Hi-index | 12.05 |
This paper presents an on-the-fly procedure for obtaining extrinsic camera parameters of onboard vehicular cameras, as well as augmented reality applications for driver assistance systems and road inspection. The proposed approach employs a lane detection algorithm to extract the lane boundaries of the road, and estimates the distance between adjacent lane markings based on the speed of the vehicle. Then, a rectangular portion of the road is used to obtain the desired extrinsic camera parameters. With the complete set of camera parameters, virtual objects can be coherently inserted into the video sequence captured by the camera, so that synthetic traffic signs may be added to increase safety. Experimental results illustrate the performance of the proposed camera calibration systems, as well as possible applications involving augmented reality.