Time-to-Contact control for safety and reliability of self-driving cars

For safety and reliability of self-driving cars, their control system must use the relative velocity of vehicles. The relative velocity can be estimated by differentiating the measured distance between cars with respect to time. However, inevitable measurement noise in the distance measurements will be amplified by the derivative operation. In this paper, we provide, as an alternative, a time-to-contact based approach to estimating the relative velocity, which can also be fused with measurements from other sensors, if desired. The system is implemented on Android smart phones running in real-time.

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

[2]  Shahriar Negahdaripour,et al.  IEEE Transactions on Pattern Analysis and Machine Intelligence , 2004 .

[3]  Y. J. Tejwani,et al.  Robot vision , 1989, IEEE International Symposium on Circuits and Systems,.

[4]  Hae-Seung Lee,et al.  Estimating the Focus of Expansion in Analog VLSI , 1998, International Journal of Computer Vision.

[5]  Thomas A. Baran,et al.  A robust signal-flow architecture for cooperative vehicle density control , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

[6]  Berthold K. P. Horn,et al.  Suppressing traffic flow instabilities , 2013, 16th International IEEE Conference on Intelligent Transportation Systems (ITSC 2013).

[7]  Liang Wang,et al.  Eigenvalue and Eigenvector Analysis of Stability for a Line of Traffic , 2017 .

[8]  B.K.P. Horn,et al.  Time to Contact Relative to a Planar Surface , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[9]  Berthold K. P. Horn,et al.  Direct methods for recovering motion , 1988, International Journal of Computer Vision.