Performance evaluation of a track to track sensor fusion algorithm
L Kovacs, L Lindenmaier, H Nemeth… - CNNA 2018; The …, 2018 - ieeexplore.ieee.org
CNNA 2018; The 16th International Workshop on Cellular Nanoscale …, 2018•ieeexplore.ieee.org
The development of autonomous vehicles requires algorithms responsible for constructing
the local surroundings of the vehicles. The algorithm responsible for creating a common
model from the sensors' detection is the so called sensor fusion method. The performance of
these methods should be compared to each other, using a common metric, in order to select
the proper algorithmic approach, sensor set or sensor placement. This paper describes the
evaluation of a track to track sensor fusion algorithm on a dataset recorded on highways.
the local surroundings of the vehicles. The algorithm responsible for creating a common
model from the sensors' detection is the so called sensor fusion method. The performance of
these methods should be compared to each other, using a common metric, in order to select
the proper algorithmic approach, sensor set or sensor placement. This paper describes the
evaluation of a track to track sensor fusion algorithm on a dataset recorded on highways.
The development of autonomous vehicles requires algorithms responsible for constructing the local surroundings of the vehicles. The algorithm responsible for creating a common model from the sensors' detection is the so called sensor fusion method. The performance of these methods should be compared to each other, using a common metric, in order to select the proper algorithmic approach, sensor set or sensor placement. This paper describes the evaluation of a track to track sensor fusion algorithm on a dataset recorded on highways.
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