The Experts below are selected from a list of 5895 Experts worldwide ranked by ideXlab platform
Neal Y. Lii - One of the best experts on this subject based on the ideXlab platform.
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Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Timothy A. CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
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VTC Spring - Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Tim CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
Tim Coombs - One of the best experts on this subject based on the ideXlab platform.
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VTC Spring - Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Tim CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
Timothy A. Coombs - One of the best experts on this subject based on the ideXlab platform.
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Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Timothy A. CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
Stefan Sturm - One of the best experts on this subject based on the ideXlab platform.
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Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Timothy A. CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
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VTC Spring - Redundant Dissimilar Sensor Fusion with Dynamic Driver Input Classification and Graceful Degradation for Drive-by-Wire Applications
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Neal Y. Lii, Stefan Sturm, Tim CoombsAbstract:Dissimilar sensor redundancy with force and displacement measurements can provide extended fault coverage for drive-by-wire applications. However, large variances occur when correlating these inputs in dynamic measurements. To address this issue, this paper introduces a novel fault tolerant sensor fusion concept to fuse redundant kinetic and kinematic sensors dynamically and accurately. It consists of a driver input condition classifier, and a Graceful Degradation scheme voter. The classifier determines the states of several driver input conditions in real-time, which are then utilized as a pointers to allocate the best fitting driver input kinetic-kinematic response profile during dynamic operation for sensor data conversion. The Graceful Degradation voter module facilitates voting and fusing of the converted redundant sensor data. Functional safety is further maintained through a Graceful Degradation scheme to tolerate the presence of different fault scenarios in the system. The proposed sensor fusion concept is implemented on a brake-by-wire pedal test bed. Test results show significant performance gains in driver command accuracy for fault-tolerant dissimilar redundant sensor fusion.
Massimo Alioto - One of the best experts on this subject based on the ideXlab platform.
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fully synthesizable low area digital to analog converter with Graceful Degradation and dynamic power resolution scaling
IEEE Transactions on Circuits and Systems I-regular Papers, 2019Co-Authors: Orazio Aiello, Paolo Stefano Crovetti, Massimo AliotoAbstract:In this paper, a fully synthesizable digital-to-analog converter (DAC) is proposed. Based on a digital standard cell approach, the proposed DAC allows very low design effort and enables digital-like shrinkage across CMOS generations, low area at down-scaled technologies, and operation down to near-threshold voltages. The proposed DAC can operate at supply voltages that are significantly lower and/or at clock frequencies that are significantly greater than the intended design point, at the expense of moderate resolution Degradation. In a 12-bit 40nm testchip, Graceful Degradation of 0.3 bit/100 mV is achieved when ${{\mathrm {V}}}_{\mathrm {DD}}$ is over-scaled down to 0.8 V, and 1.4 bit/100 mV when further scaled down to 0.6 V. The proposed DAC enables dynamic power-resolution tradeoff with three times (two times) power saving for 1-bit resolution Degradation at iso-sample rate (iso-resolution). A 12-bit DAC testchip designed with a fully automated standard cell flow in 40 nm consumes $55~\mu \text{W}$ at 27 kS/s ( $9.1~\mu \text{W}$ at 13.5 kS/s) at a compact area of $500~\mu \text{m}^{\mathrm {2}}$ and low voltage of 0.55 V.
