Expanding transmission capacity of can systems using dual communication channels with kalman prediction

Kim, M. H.; Lee, S.; Lee, K. C.

doi:10.1007/s12239-012-0028-1

Cited by 4 publications

(1 citation statement)

References 19 publications

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“…The analyser forecasts the distance values using Kalman prediction to determine whether the data from the radar sensor are erroneous. To forecast the k th distance d m ( k ) of the AHRS, the analyser estimates the state of the discrete-time controlled process which is governed by the linear stochastic difference equations 19,20…”

Section: Structure Of the Ahrsmentioning

confidence: 99%

Analytical hybrid redundancy system for the fault tolerance of advanced driver assistance systems

Lee

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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The growing dependence on electronic sensors has resulted in increased concerns over the fault tolerance in safety-critical systems. For example, a vehicle with an advanced driver assistance system, which assists safe driving using numerous electronic elements, should be fault tolerant because sensor failures can lead to events in which car occupants receive serious injuries. However, it is often undesirable to have multiple redundant sensors because of the high cost of critical sensors such as the radar in an advanced driver assistance system. To address this problem, we present an analytical hybrid redundancy system that provides fault tolerance using fault detection and exception-handling algorithms. On the basis of the actual range data from an advanced driver assistance system radar, we present the results of numerical simulations of the analytical hybrid redundancy system and show that it outperforms existing approaches with respect to a number of performance indices.

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Section: Structure Of the Ahrsmentioning

confidence: 99%

Analytical hybrid redundancy system for the fault tolerance of advanced driver assistance systems

Lee

et al. 2017

Proceedings of the Institution of Mechanical Engineers, Part D:

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In-car power line communications: Advanced transmission techniques

Antoniali

Girotto

Tonello

2013

Int.J Automot. Technol.

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Node-based scheduling method for easy migration from CAN to FlexRay in in-vehicle networking systems

Kim

Lee

2014

Int.J Automot. Technol.

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As vehicles become more intelligent, in-vehicle networking (IVN) systems such as controller area network (CAN) are essential for the convenience and safety of drivers. To expand the applicability of IVN systems, attention is currently being focused on chassis networking systems that require increased network capacity and real-time capabilities. FlexRay was developed to replace CAN protocol in chassis networking systems, to remedy the shortage of transmission capacity and unsatisfactory real-time transmission delay of conventional CAN. However, FlexRay network systems require a complex scheduling method, which is a barrier to their implementation as chassis networking systems. In particular, if we want to migrate from a CAN network to a FlexRay network using the well-defined CAN message database, which has been specifically constructed for chassis networking systems by automotive vendors, a new type of scheduling method is necessary to reduce scheduling efforts during the software development process. This paper presents a node-based scheduling method for easy migration from a CAN network to a FlexRay network system. To demonstrate the feasibility of the technique, its performance is evaluated in terms of various software complexity indices.

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Expanding transmission capacity of can systems using dual communication channels with kalman prediction

Cited by 4 publications

References 19 publications

Analytical hybrid redundancy system for the fault tolerance of advanced driver assistance systems

Analytical hybrid redundancy system for the fault tolerance of advanced driver assistance systems

In-car power line communications: Advanced transmission techniques

Node-based scheduling method for easy migration from CAN to FlexRay in in-vehicle networking systems

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