ADAS Device Operated on CAN Bus Using PiCAN Module for Raspberry Pi

Drewniak, Marek; Tokarz, Krzysztof; Rędziński, Michał

doi:10.1007/978-3-319-67077-5_22

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…Communication with the sensors is based on an I2C interface, SPI, RS232, GPIO and CAN. This allows typical ADAS modules [4] [6] or other solutions [7] to be connected and results in sensor fusion [8]. An STM32 is equipped with many more interfaces that are accessible to users than a RPi, which allows for greater system scalability.…”

Section: Amp Architecturementioning

confidence: 99%

Distributed control architecture for the autonomous mobile platform

Ziębiński

Cupek

Piech

2018

AIP Conference Proceedings

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This paper presents a proof of the concept of distributed control architecture dedicated for the Autonomous Mobile Platform. The greatest advantage of the proposed solution is its scalability, which enables the application of advanced control algorithms that are based on multiple sensors that supply information to multiple processing units. The key is a highly effective on-board communication system. The proposed method is based on Serial Peripheral Interface SPI communication that joins the STM32 and Raspberry Pi processing units, which share the tasks of processing the signals that are necessary for AMP control. The proposed architecture and test results for on-board communication performance are presented.

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Section: Amp Architecturementioning

confidence: 99%

Distributed control architecture for the autonomous mobile platform

Ziębiński

Cupek

Piech

2018

AIP Conference Proceedings

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“…Consequently, a need to perform research, experiments and full-scale testing in order to validate these novel technologies and to evaluate whether vehicles equipped with such systems can safely operate on public roads and whether the technology itself performs according to specifications has been observed [2]. Carrying out such advanced assessments is not only dictated by the evolving complexity of ADAS, but also by growing requirements of consumers and governmental regulations, which push for higher safety [3] and lower costs [4]. Sensors such as RADARs, LIDARs or cameras play key roles in automotive applications but are vulnerable to environmental conditions and damage to internal circuitry [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Accuracy of ADAS Module Readings Based on an Analysis of the Transient Supply Current and Neural Network Application

Grzechca¹,

Rybka²,

Paszek³

2018

ElAEE

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The following paper presents advanced methods for evaluating the reliability of ADAS module readings, based on an analysis of the transient supply current. Changes in the transient current waveform occur due to environmental conditions and damage to a module's inner circuitry. Specific deviations in the waveforms may indicate a certain eventeither internal or external. This paper presents how to successfully distinguish certain anomalies using artificial neural network-based classification algorithms without having to interfere with the module's internal circuitry.

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ADAS Device Operated on CAN Bus Using PiCAN Module for Raspberry Pi

Cited by 2 publications

References 18 publications

Distributed control architecture for the autonomous mobile platform

Distributed control architecture for the autonomous mobile platform

Evaluation of the Accuracy of ADAS Module Readings Based on an Analysis of the Transient Supply Current and Neural Network Application

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