Driver assistance system providing an intuitive perspective view of vehicle surrounding

Yen Ting Yeh, Chun Kang Peng, Kuan-Wen Chen, Yong-Sheng Chen*, Yi Ping Hung

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Scopus citations


Driver assistance systems can help drivers to avoid car accidents by providing warning signals or visual cues of surrounding situations. Instead of the fixed bird’s-eye view monitoring proposed in many previous works, we developed a real-time vehicle surrounding monitoring system that can assist drivers to perceive the vehicle surrounding situations in third-person viewpoints. Four fisheye cameras were mounted around the vehicle in our system.We developed a simple and accurate fisheye camera calibration method to dewarp the captured images into perspective projection ones. Next, we estimated the intrinsic parameters of each undistorted virtual camera by using planar calibration patterns and then obtain the extrinsic camera parameters by using the global patterns on a ground plane. A new method was proposed to tackle the brightness uniformity problem caused by the various lighting conditions of cameras. Finally, we projected the undistorted images onto a 3D hybrid projection model, stitched these images together, and then rendered the images from a third-person viewpoint selected by the driver. The proposed hybrid projection model is composed of a paraboloid model and a columnar model and can achieve rendering results with less distortion. Compared to conventional around-vehicle monitoring systems, our system can provide adaptive, integrated, and intuitive views of vehicle surroundings in a more realistic way.

Original languageEnglish
Title of host publicationComputer Vision - ACCV 2014 Workshops, Revised Selected Papers
EditorsC.V. Jawahar, Shiguang Shan
PublisherSpringer Verlag
Number of pages15
ISBN (Print)9783319166308
StatePublished - 1 Jan 2015
Event12th Asian Conference on Computer Vision, ACCV 2014 - Singapore, Singapore
Duration: 1 Nov 20142 Nov 2014

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference12th Asian Conference on Computer Vision, ACCV 2014


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