Formal timing analysis of CAN-to-Ethernet gateway strategies in automotive networks

Thiele, Daniel; Schlatow, Johannes; Axer, Philip; Ernst, Rolf

doi:10.1007/s11241-015-9243-y

Cited by 19 publications

(5 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…many vehicle functions, but in recent years Ethernet has been adapted as a new automotive network protocol given its high bandwidth, flexibility and competitive cost. The exchange of data between different network technologies is realized by gateways, we focus here on CANto-Ethernet gateways as modeled in [15]. CAN frames have small payload sizes in comparison to Ethernet frames, while the protocol overhead of Ethernet frames is much higher than that of CAN frames.…”

Section: Gateway Can Stagementioning

confidence: 99%

Increasing Accuracy of Timing Models: From CPA to CPA+

Köhler¹,

Nikolic²,

Ernst³

et al. 2019

2019 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

Self Cite

View full text Add to dashboard Cite

Formal analysis methods of embedded systems provide safe, but unfortunately often pessimistic bounds on response times. An important source of pessimism is the common approach to characterize service request either by the amount of data or the number of events to be processed. Several works, e.g. [1]-[4], have demonstrated that a dual model-which includes information on both data and events-is more accurate, especially for more complex scheduling problems. In this paper, we enrich Compositional Performance Analysis (CPA) by a new component interface which, as we show, is consistent with the generic dual model proposed in [3]. Furthermore, we discuss how composition of components should be realized and how the new information should be integrated into the analysis technique. The improved CPA is called CPA+, and we identify different types of scenarios where CPA+ is particularly beneficial.

show abstract

Section: Gateway Can Stagementioning

confidence: 99%

Increasing Accuracy of Timing Models: From CPA to CPA+

Köhler¹,

Nikolic²,

Ernst³

et al. 2019

2019 Design, Automation &Amp; Test in Europe Conference &Amp; Exhibition (DATE)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The proposed method can obtain a shorter transmission delay and ensure a higher transmission success rate. The timing impact introduced by various CAN/Ethernet multiplexing strategies at the gateways is determined [12]. They present a formal analysis method to derive upper bounds on end-to-end latencies for complex multiplexing strategies, which is the key for the design of safety-critical real-time systems.…”

Section: In-vehicle Internet Of Things (Iot) Gatewaymentioning

confidence: 99%

An Integrated Self-Diagnosis System for an Autonomous Vehicle Based on an IoT Gateway and Deep Learning

et al. 2018

View full text Add to dashboard Cite

This paper proposes "An Integrated Self-diagnosis System (ISS) for an Autonomous Vehicle based on an Internet of Things (IoT) Gateway and Deep Learning" that collects information from the sensors of an autonomous vehicle, diagnoses itself, and the influence between its parts by using Deep Learning and informs the driver of the result. The ISS consists of three modules. The first In-Vehicle Gateway Module (In-VGM) collects the data from the in-vehicle sensors, consisting of media data like a black box, driving radar, and the control messages of the vehicle, and transfers each of the data collected through each Controller Area Network (CAN), FlexRay, and Media Oriented Systems Transport (MOST) protocols to the on-board diagnostics (OBD) or the actuators. The data collected from the in-vehicle sensors is transferred to the CAN or FlexRay protocol and the media data collected while driving is transferred to the MOST protocol. Various types of messages transferred are transformed into a destination protocol message type. The second Optimized Deep Learning Module (ODLM) creates the Training Dataset on the basis of the data collected from the in-vehicle sensors and reasons the risk of the vehicle parts and consumables and the risk of the other parts influenced by a defective part. It diagnoses the vehicle's total condition risk. The third Data Processing Module (DPM) is based on Edge Computing and has an Edge Computing based Self-diagnosis Service (ECSS) to improve the self-diagnosis speed and reduce the system overhead, while a V2X based Accident Notification Service (VANS) informs the adjacent vehicles and infrastructures of the self-diagnosis result analyzed by the OBD. This paper improves upon the simultaneous message transmission efficiency through the In-VGM by 15.25% and diminishes the learning error rate of a Neural Network algorithm through the ODLM by about 5.5%. Therefore, in addition, by transferring the self-diagnosis information and by managing the time to replace the car parts of an autonomous driving vehicle safely, this reduces loss of life and overall cost.

show abstract

“…In summary interference on the domain gateway can either originate from blocking in one of the buffers that awaits its trigger condition or from packed and already triggered frames being in the transmit queue of the gateway before the respective frame. An overview of different packaging strategies and their impact on end-to-end latencies is presented in [23].…”

Section: Packagingmentioning

confidence: 99%

Invited - Towards fail-operational ethernet based in-vehicle networks

Mostl

Thiele

Ernst

2016

Proceedings of the 53rd Annual Design Automation Conference

Self Cite

View full text Add to dashboard Cite

In the future, vehicles are expected to act more and more autonomously. The transition towards highly automated and autonomous driving will push the safety requirements for in-vehicle networks. Such networks must support isolation between mixed-critical traffic (e.g. critical control and noncritical infotainment) and must be fail-operational. This paper will present new concepts and mechanisms to achieve these goals in Ethernet-based networks. It will cover advanced topics such as software defined networking (SDN) to implement isolation, fault recovery, and controlled degradation, e.g. to maintain (degraded) operation until the driver takes over or to reach a safe stop.

show abstract

Formal timing analysis of CAN-to-Ethernet gateway strategies in automotive networks

Cited by 19 publications

References 20 publications

Increasing Accuracy of Timing Models: From CPA to CPA+

Increasing Accuracy of Timing Models: From CPA to CPA+

An Integrated Self-Diagnosis System for an Autonomous Vehicle Based on an IoT Gateway and Deep Learning

Invited - Towards fail-operational ethernet based in-vehicle networks

Contact Info

Product

Resources

About