Self-driving vehicle require a high level of situational awareness in order to maneuver safely when driving in real world condition. This paper presents a LiDAR based real time perception system that is able to process sensor raw data for multiple target detection and tracking in dynamic environment. The proposed algorithm is nonparametric and deterministic that is no assumptions and priori kno...

This work presents a new assignment algorithm with order restriction. Our algorithm was developed using the optimization technique of dynamic programming. It was implemented and tested to determine the best global matching that respects the order of the points that define two contours to be matched. In the experimental tests done, we used the affinity matrix obtained via the method proposed by ...

Multi-target tracking is a challenge due to the variable number of targets and the frequent interaction between targets in complex dynamic environments. This paper presents a multi-target tracking algorithm based on bipartite graph matching. Unlike previous approaches, the method proposed considers the target tracking as a bipartite graph matching problem where the nodes of the bipartite graph ...

The genetic variability, haplotype profile and ethnic differences of MDR1 polymorphisms in healthy Roma and Hungarian populations were analyzed and the results were compared with those of other populations available from the literature. Healthy subjects (465 Roma and 503 Hungarian) were genotyped for C1236T, G2677T/A and C3435T variants of MDR1 by PCR-RFLP assay. Differences were found between ...

In this study, the empirical results of a market-based task allocation method for heterogeneous and homogeneous robot teams and different types of tasks in 2 different environments are presented. The proposed method allocates robots to tasks through a parallel multiitem auction-based process. The main contribution of the proposed method is energy-based bid calculations, which take into account ...

Online multi-object tracking (MOT) is challenging: frame-by-frame matching of detection hypotheses to the correct trackers can be difficult. The Hungarian algorithm is the most commonly used online MOT data association method due to its rapid assignment; however, the Hungarian algorithm simply considers associations based on an affinity model. For crowded scenarios, frequently occurring interac...

In this paper we present a recursive formula to find the degree of the determinant of a bivariate polynomial matrix. The proposed algorithm returns the optimal estimation of the degree but has a very large computational cost. The recursive formula can be represented as an assignment problem which is solved with the Hungarian method that has a very small computational cost. The contribution of t...

Meadow vipers (Vipera ursinii) are small venomous snakes whose range in Hungary has been greatly fragmented by anthropogenic habitat disturbance (especially, agriculture). We obtained DNA from a total of eight Hungarian snakes. Genetic variability at the major histocompatibility (Mhc) class I loci was much lower for these snakes than for specimens from two large Ukrainian populations. Within tw...

This paper reports on the adaptation of a well-established foreign language anxiety scale for use in the Hungarian EFL setting; furthermore, the validation procedures aimed at testing the psychometric properties of the new instrument. Horwitz, Horwitz and Cope’s (1986) Foreign Language Classroom Anxiety Scale (FLCAS) was adapted using the method of multiple translators and back translation, and...