Collision avoidance at intersections: A probabilistic threat-assessment and decision-making system for safety interventions

Rodrigues de Campos, Gabriel,1986Chalmers tekniska högskola,Chalmers University of Technology (författare)

Road intersections are among the most complex and accident-prone elements of modern traffic networks. Thus, newsafety systems have to copewith highly complex traffic scenarios where the behavior of the different roadusers is difficult to predict. Sensing the surrounding environment and assessing possible threats therefore remain challenging problems. This paper provides a novel, efficient active-safety system for frontal collisions detection and prevention/mitigation. More precisely, we provide: (i) a probabilistic motion prediction algorithm based on an unscented Kalman filter; (ii) a probabilistic threat assessment method based on vectors defined by reference points on the vehicles' structure; (iii) a reachability-based decision-making protocol enabling an emergency intervention. Simulation results, based on realistic data obtained specifically for this scenario, are also presented showing the efficiency and the potential of the proposed solution.

H. Runarsson, AdamAF Consult (författare)
Granum, FredrikChalmers tekniska högskola,Chalmers University of Technology (författare)
Falcone, Paolo,1977Chalmers tekniska högskola,Chalmers University of Technology(Swepub:cth)falcone (författare)
Alenljung, Klas (författare)
Chalmers tekniska högskolaAF Consult (creator_code:org_t)

Ingår i:2014 17th IEEE International Conference on Intelligent Transportation Systems, ITSC 2014; Qingdao; China; 8 October 2014 through 11 October 2014, s. 649-6549781479960781

Av författaren/redakt...: Rodrigues de Cam ...; H. Runarsson, Ad ...; Granum, Fredrik; Falcone, Paolo, ...; Alenljung, Klas

Om ämnet

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.