Driver assistance algorithm for automotive collision avoidance using optimization feasibility

Masakazu Mukai, Taketoshi Kawabe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper considers a collision avoidance problem of the vehicle and the moving obstacle. The prohibited region is defined for the vehicle and the obstacle considering a specified size of them. The problem is formulated as a mixed integer programming problem. In the problem the obstacles and environments around the automobile can be represent as inequality conditions. Then the driver assistance algorithm for the collision avoidance using the feasibility of the optimization is proposed. Computer simulation shows that the proposed algorithm can provide appropriate control input for collision avoidance.

Original languageEnglish
Title of host publication7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings
Pages416-421
Number of pages6
Volume7
EditionPART 1
DOIs
Publication statusPublished - Oct 24 2013
Event7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Tokyo, Japan
Duration: Sep 4 2013Sep 7 2013

Other

Other7th IFAC Symposium on Advances in Automotive Control, AAC 2013
CountryJapan
CityTokyo
Period9/4/139/7/13

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All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering

Cite this

Mukai, M., & Kawabe, T. (2013). Driver assistance algorithm for automotive collision avoidance using optimization feasibility. In 7th IFAC Symposium on Advances in Automotive Control, AAC 2013 - Proceedings (PART 1 ed., Vol. 7, pp. 416-421) https://doi.org/10.3182/20130904-4-JP-2042.00159