Adaptive forward collision warning algorithm for automotive applications
Paper i proceeding, 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.

Författare

Seyed Mehrdad Hosseini

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Nikolce Murgovski

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Gabriel Rodrigues de Campos

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

Jonas Sjöberg

Chalmers, Signaler och system, System- och reglerteknik, Mekatronik

American Control Conference

0743-1619 (ISSN)

5982-5987 7526608

Styrkeområden

Transport

Ämneskategorier

Beräkningsmatematik

Reglerteknik

DOI

10.1109/ACC.2016.7526608

ISBN

978-146738682-1

Mer information

Skapat

2017-10-07