作者: Bharanidhar Duraisamy , Tilo Schwarz
关键词: Computer science 、 Filter (signal processing) 、 Monte Carlo method 、 Fusion 、 Algorithm 、 Sensor fusion 、 Benchmark (computing) 、 Fisher information 、 Computer vision 、 Artificial intelligence 、 Track (disk drive) 、 Asynchronous communication
摘要: This paper presents the problem of information fusion in a multi-sensor setup asynchronous sensors with different latencies. leads to tracks that have arbitrary arrival time at center. A solution for integration are temporally out order is proposed. The proposed algorithm quite suitable trackto-track requirements. avoids complex calculation involved negating effect process noise influences estimation accuracy track-to-track and also correlated arises during track global track. Monte Carlo simulations carried sensor characteristics study performance algorithm. result compared an optimal filtering benchmark.