Abstract
The aim of this study has been to propose a new method for automatic rectification and stitching of the images taken on the accident site. The proposed method does not require any measurements to be performed on the accident site and thus it is frsjebalaee of measurement errors. The experimental investigation was performed in order to compare the vehicle trajectory estimation according to the yaw marks in the stitched image and the trajectory, reconstructed using the GPS data. The overall mean error of the trajectory reconstruction, produced by the method proposed in this paper was 0.086 m. It was only 0.18% comparing to the whole trajectory length.
Highlights
The traffic in horizontal road curves is always a source of higher risk, which is being reduced by the visibility improvements, the reduction of the maximum allowed driving speed, etc. [1, 2]
The aim of this paper is to propose a method for sideslip trajectory estimation from a set of images without the need to perform any measurements on the accident site and an algorithm for automatic matching and stitching of these images
This study was performed in order to present a vision-based vehicle sideslip trajectory estimation for traffic accident reconstruction
Summary
The traffic in horizontal road curves is always a source of higher risk, which is being reduced by the visibility improvements, the reduction of the maximum allowed driving speed, etc. [1, 2]. The traffic in horizontal road curves is always a source of higher risk, which is being reduced by the visibility improvements, the reduction of the maximum allowed driving speed, etc. In case of the sideslip of the vehicle, it is always important to find the causes of the accident. The causes of the sideslip usually lie in the speed of the vehicle and the road pavement. When the tire is at an angle to the path of travel, the lateral forces occur at the contact point to road pavement. The tire leaves yaw marks on the road pavement when sideslip angle exceeds its maximum value at the currently acting normal force. Road roughness could have a great influence on the basic vehicle dynamics [3] as well as on the properties of the left tire marks
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
