Improving positioning accuracy of vehicular navigation system during GPS outages utilizing ensemble learning algorithm

Li, Jing; Song, Ningfang; Yang, Ge; Li, Ming; Cai, Qingzhong

doi:10.1016/j.inffus.2016.08.001

Cited by 95 publications

(39 citation statements)

References 28 publications

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“…At present, most vehicles are fitted with GPS and navigation systems, making it possible to secure vehicle location The vehicle is fitted with pre-installed digital maps [25]. The installment of the preloaded digital map in a vehicle not only describes the topology of the road, but also collects traffic statistics such as vehicle density and average speed.…”

Section: Related Workmentioning

confidence: 99%

An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks

Wang

Chen

2017

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Vehicular ad hoc networks (VANETs) have emerged as a new powerful technology for data transmission between vehicles. Efficient data transmission accompanied with low data delay plays an important role in selecting the ideal data forwarding path in VANETs. This paper proposes a new opportunity routing protocol for data forwarding based on vehicle mobility association (OVMA). With assistance from the vehicle mobility association, data can be forwarded without passing through many extra intermediate nodes. Besides, each vehicle carries the only replica information to record its associated vehicle information, so the routing decision can adapt to the vehicle densities. Simulation results show that the OVMA protocol can extend the network lifetime, improve the performance of data delivery ratio, and reduce the data delay and routing overhead when compared to the other well-known routing protocols.

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Section: Related Workmentioning

confidence: 99%

An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks

Wang

Chen

2017

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“…The flow chart in Figure 3: Judge fell module flowchart The main function of mobile acceleration sensor is to induction the movement of phone. It gets three parameter, that is the result that the acceleration of coordinate axis x,y,z in space coordinate system decrease the component of gravitational acceleration, and the direction is negative direction of gravitation acceleration [3]. Set the ground to fixed Cartesian coordinate system OXYZ, z axis perpendicular to the ground.…”

Section: Modules Designmentioning

confidence: 99%

Design and Implementation of Judge System for Old Man Fall Down

Sun¹,

Zhang²,

Lin³

et al. 2017

Proceedings of the 2017 International Conference on Mechanical, Electronic, Control and Automation Engineering (MECAE 2017)

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“…With the development of artificial intelligence (AI) and big data, a lot of AI methods have been explored so as to improve navigation accuracy during GNSS outages [12][13][14][15][16][17][18]. Nowadays, artificial neural networks (ANN) are the most widely used methods to model a complex nonlinear problem.…”

Section: Introductionmentioning

confidence: 99%

A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages

Fang

Jiang

et al. 2020

Remote Sensing

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Aiming to improve the navigation accuracy during global navigation satellite system (GNSS) outages, an algorithm based on long short-term memory (LSTM) is proposed for aiding inertial navigation system (INS). The LSTM algorithm is investigated to generate the pseudo GNSS position increment substituting the GNSS signal. Almost all existing INS aiding algorithms, like the multilayer perceptron neural network (MLP), are based on modeling INS errors and INS outputs ignoring the dependence of the past vehicle dynamic information resulting in poor navigation accuracy. Whereas LSTM is a kind of dynamic neural network constructing a relationship among the present and past information. Therefore, the LSTM algorithm is adopted to attain a more stable and reliable navigation solution during a period of GNSS outages. A set of actual vehicle data was used to verify the navigation accuracy of the proposed algorithm. During 180 s GNSS outages, the test results represent that the LSTM algorithm can enhance the navigation accuracy 95% compared with pure INS algorithm, and 50% of the MLP algorithm.

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Improving positioning accuracy of vehicular navigation system during GPS outages utilizing ensemble learning algorithm

Cited by 95 publications

References 28 publications

An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks

An Opportunistic Routing for Data Forwarding Based on Vehicle Mobility Association in Vehicular Ad Hoc Networks

Design and Implementation of Judge System for Old Man Fall Down

A LSTM Algorithm Estimating Pseudo Measurements for Aiding INS during GNSS Signal Outages

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