2022
DOI: 10.1016/j.ymssp.2021.108146
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Multi-rate strong tracking square-root cubature Kalman filter for MEMS-INS/GPS/polarization compass integrated navigation system

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Cited by 67 publications
(15 citation statements)
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“…With the developments of machine learning [3][4][5], researchers proposed two kinds of prediction methods, including model-driven [6,7] and data-driven [8][9][10]. For the former, some researchers used the Markov chain and Kalman filter [6,7] to perform trajectory prediction.…”
Section: Figure 1: Driving Scenario Of An Autonomous Vehiclementioning
confidence: 99%
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“…With the developments of machine learning [3][4][5], researchers proposed two kinds of prediction methods, including model-driven [6,7] and data-driven [8][9][10]. For the former, some researchers used the Markov chain and Kalman filter [6,7] to perform trajectory prediction.…”
Section: Figure 1: Driving Scenario Of An Autonomous Vehiclementioning
confidence: 99%
“…With the developments of machine learning [3][4][5], researchers proposed two kinds of prediction methods, including model-driven [6,7] and data-driven [8][9][10]. For the former, some researchers used the Markov chain and Kalman filter [6,7] to perform trajectory prediction. Houenou et al [11] proposed combining the constant yaw acceleration motion model with trajectory prediction of maneuver identification, which made up for the shortcomings of traditional prediction methods in long-term prediction.…”
Section: Figure 1: Driving Scenario Of An Autonomous Vehiclementioning
confidence: 99%
“…Perkembangan kebudayaan dan pembangunan baik pada skala nasional maupun skala internasional dewasa ini telah membuka pemahaman baru bahwa, negara atau daerah dari suatu negara, yang mampu memberikan informasi informatif mungkin merupakan negara atau daerah yang paling berpotensi meraih keuntungan sebesar-besarnya dari prinsip perdagangan dan pembangunan dari sumber-sumber yang tidak terbatas (Sha et al, 2021;Shen et al, 2022;Sutton et al, 2021). Suatu kota yang ingin mendapatkan investasi dari pihak luar harus mampu memberikan informasi pada kesempatan pertama mengenai sumber dayanya, dimana bagian dari informasi itu adalah peta kota (Wu & Hifi, 2021;Xu & Liu, 2021;Zeeshan et al, 2021).…”
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“…Faktor penyebabnya, antara lain adalah: a) ketidakjelasan pada struktur pemerintah yang bertanggung jawab, b) tuntutan akan adanya peta kota yang informatif dan lengkap belum dianggap prioritas, c) belum meratanya kesadaran pada pemerintah bahwa pelayanan kepada masyarakat tentang informasi kota merupakan kewajiban pemerintah untuk memenuhinya (Sha et al, 2021;Shen et al, 2022;Sutton et al, 2021).…”
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