A Study of Optical Flow in Peripheral Vision Area While Vehicle Cornering

This research focuses on the ecological study on the human visual perception to develop the vehicle control system in the cornering. We express the human visual information using the gaze direction and the optical flow. We suggest acquiring the optical flow on the peripheral vision area by using image processing. In this paper, we explain the trend of the optical flow in the peripheral vision area. First, we simulated the optical flow on the peripheral vision area in vehicle cornering. For the result, the optical flow in the peripheral vision area radiates outward from the gaze center. Next, we perform the real driving experiment. For the result, the optical flow in the peripheral vision area radiates outward from the gaze center in the real driving data.

[1]  R. Hetherington.  The Perception of the Visual World , 1952 .

[2]  Berthold K. P. Horn,et al.  Determining Optical Flow , 1981, Other Conferences.

[3]  Andrea Giachetti,et al.  The use of optical flow for road navigation , 1998, IEEE Trans. Robotics Autom..

[4]  Michiteru Kitazaki,et al.  A Study on a Device for Controlling Visual Information to Improve Driver Performance , 2009 .

[5]  Hidetoshi Nakayasu,et al.  Analysis of Driver Perceptions and Behavior When Driving in an Unfamiliar Traffic Regulation , 2011, J. Adv. Comput. Intell. Intell. Informatics.

[6]  Charles E. Thorpe,et al.  Perception for collision avoidance and autonomous driving , 2003 .

[7]  David Crundall,et al.  Effects of experience and processing demands on visual information acquisition in drivers , 1998 .

[8]  Lars Petersson,et al.  Driver assistance systems based on vision in and out of vehicles , 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

[9]  Hiroyuki Masuta,et al.  Spherical optical flow based cornering motion representation for vehicle control , 2017, 2017 IEEE Symposium Series on Computational Intelligence (SSCI).

[10]  Takanori Fukao,et al.  Development of Automatic Steering System by Modeling Human Behavior Based on Optical Flow , 2015, J. Robotics Mechatronics.

[11]  Kahlouche Souhila,et al.  Optical Flow Based Robot Obstacle Avoidance , 2007 .

[12]  David N. Lee,et al.  A Theory of Visual Control of Braking Based on Information about Time-to-Collision , 1976, Perception.