TY  - JOUR
U1  - Zeitschriftenartikel, wissenschaftlich - begutachtet (reviewed)
A1  - Knievel, Christopher
A1  - Pejic, Aldin
A1  - Krüger, Lars
A1  - Ziegler, Christoph
A1  - Adamy, Jürgen
T1  - Boids Flocking Algorithm for Situation Assessment of Driver Assistance Systems
JF  - IEEE Open Journal of Intelligent Transportation Systems
N2  - Driver assistance systems are increasingly becoming part of the standard equipment of vehicles and thus contribute to road safety. However, as they become more widespread, the requirements for cost efficiency are also increasing, and so few and inexpensive sensors are used in these systems. Especially in challenging situations, this leads to the fact that target discrimination cannot be ensured which may lead to false reactions of the driver assistance system. In this paper, the Boids flocking algorithm is used to generate semantic neighborhood information between tracked objects which in turn can significantly improve the overall performance. Two different variants were developed: First, a free-moving flock whereby a separate flock is generated per tracked object and second, a formation-controlled flock where boids of a single flock move along the future road course in a pre-defined formation. In the first approach, the interaction between the flocks as well as the interaction between the boids within a flock is used to generate additional information, which in turn can be used to improve, for example, lane change detection. For the latter approach, new behavioral rules have been developed, so that the boids can reliably identify control-relevant objects to a driver assistance system. Finally, the performance of the presented methods is verified through extensive simulations.
KW  - Driver Assistance Systems
KW  - Lane Association
KW  - Target Discrimination
KW  - Boids Flocking Algorithm
Y1  - 2023
UN  - https://nbn-resolving.org/urn:nbn:de:bsz:kon4-opus4-34307
SN  - 2687-7813
SS  - 2687-7813
U6  - https://doi.org/10.1109/OJITS.2023.3236985
DO  - https://doi.org/10.1109/OJITS.2023.3236985
N1  - Corresponding author: Christopher Knievel
SP  - 71
EP  - 82
PB  - Institute of Electrical and Electronics Engineers (IEEE)
ER  -