Adaptive forward collision warning algorithm for automotive applications
Paper in proceedings, 2016

This paper proposes an adaptive collision warning algorithm (CWA) that supports the driver by issuing early warnings for collision avoidance without noticeably increasing the risk of false alarms in real traffic. This algorithm can also detect when an emergency intervention is necessary. Compared to existing CWAs, the proposed solution in this paper triggers alarms by solving a linear convex program using traffic data, road’s constraints and bicycle model dynamics, and by incorporating an adaptive (speed-dependent) warning threshold. A collision threat is detected by determining feasible steering trajectories without altering the vehicle’s longitudinal velocity.

Author

Seyed Mehrdad Hosseini

Chalmers, Signals and Systems, Systems and control, Mechatronics

Nikolce Murgovski

Chalmers, Signals and Systems, Systems and control, Mechatronics

Gabriel Rodrigues de Campos

Chalmers, Signals and Systems, Systems and control, Mechatronics

Jonas Sjöberg

Chalmers, Signals and Systems, Systems and control, Mechatronics

American Control Conference

0743-1619 (ISSN)

5982-5987 7526608

Areas of Advance

Transport

Subject Categories

Computational Mathematics

Control Engineering

DOI

10.1109/ACC.2016.7526608

ISBN

978-146738682-1

More information

Created

10/7/2017