Smart and Interactive Laboratory Setup to Teach Controller Area Network Protocol

Indiketiya, Thisuri

doi:10.1109/iemcon51383.2020.9284831

Cited by 4 publications

(5 citation statements)

References 11 publications

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“…The comparison between existing platforms is summarized i n Table . 2. Reduce the barrier of en-try into automotive security research Medium ( $500) Medium [1] Safe environment for auto-motive security testing High ($28000) High [5] Inject malicious traffic to assess the impact on the network Medium ($1000) Medium [3] Performed testing on two real cars High ( $40000) High [4] III. DESIGN Fig.…”

Section: A Comparisonmentioning

confidence: 99%

“…The development of smart cars relies heavily on intricate networks of interconnected electronic systems that facilitate communication and coordination between various vehicle components. As the demand for professional expertise in automotive net-works grows, the need for comprehensive and accessible educational platforms becomes increasingly evident [1].…”

Section: Introductionmentioning

confidence: 99%

“…The protocol's success stems from its unique features, such as the differential bus for noise immunity, message prioritization through an arbitration mechanism, and self-contained error detection and recovery capabilities. These traits, combined with its straight-forward design, have positioned CAN as a preferred choice for industries seeking reliable and efficient communication protocols [1]. Over time, CAN has evolved, resulting in various versions and specifications tailored to diverse application requirements.…”

Section:  Introduction To Controller Area Network (Can) Protocolmentioning

confidence: 99%

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Driving the Future: Design and Implementation of an Advanced Smart Car Network Simulation Platform for Education

Humayed,

Jabbari,

Reegu

et al. 2024

Mitteilungen Klosterneuburg

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— Incorporating smart car network education into an academic setting often faces a substantial cost barrier. Traditionally, creating a realistic learning environment involved significant investments, such as procuring an actual smart car or specialized automotive-grade testing equipment. However, these approaches pose challenges, especially in resource-constrained educational contexts. This project addresses these challenges by introducing an innovative solution—a smart car education platform. Our objective is to design and implement this platform using a limited number of microcontrollers and components extracted from modern vehicles, enabling the creation of a lifelike simulation of genuine smart car networks. By adopting this approach, we enhance accessibility for students interested in gaining practical insights into automotive networks, offering a more pragmatic and cost-effective educational pathway.

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Section: A Comparisonmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section:  Introduction To Controller Area Network (Can) Protocolmentioning

confidence: 99%

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Driving the Future: Design and Implementation of an Advanced Smart Car Network Simulation Platform for Education

Humayed,

Jabbari,

Reegu

et al. 2024

Mitteilungen Klosterneuburg

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“…Educational activities with reference to CAN bus teaching and automotive applications show as well a strong preference for Arduino family and additional CAN bus shields [19]. More challenging laboratory exercises use either model vehicles for demonstration and analysis of CAN bus communication with close to reality test setups [18,21] or even real automotive hardware for simulation of CAN bus communication and analysis of associated vehicle data [22,23].…”

Section: Related Workmentioning

confidence: 99%

“…Having said that recent papers show clear tendency towards modeling and simulation instead of using real hardware [26][27][28]. The other way is to work with -mostly radio controlled (RC) -model cars as they are cheaper, less dangerous and not as complex as real hardware is [18,21,[29][30][31].…”

Section: Related Workmentioning

confidence: 99%

Adapting Automotive Engineering Education to Autonomous Driving Requirements

Heidrich,

Jaussaud,

Weiß

2023

Educational Alternatives

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Automotive engineering education of the past was based mainly on mechanical items like chassis, powertrain and internal combustion engines. Due to powertrain transformation towards hybrid and electrical systems as well as more and more driver assistance systems including more and more sensors and actors, the electronic and IT fraction in modern cars increased over the past years from nearly nothing up to approximately 35 % of the automotive value creation chain.Hence, the curriculum of study courses related to automotive engineering has to be endorsed with electronic and IT based course topics. This endorsement has to cover lectures and additionally laboratory exercises. Especially the laboratory exercises should be adapted to requirements of mechanical engineering students.The conversion of laboratory exercises was very challenging, as previous knowledge of mechanical engineering students differ completely from those of electronics or informatics students. Therefore, the existing laboratory exercises has to be converted to appropriate laboratory exercises using microcontrollers as well as electrical and hybrid powertrains. New laboratory exercises from simple level like "read a sensor and control an actor" up to CAN bus communication between three controllers -all based on Arduino microcontrollers -were designed, constructed and tested with first groups of mechanical engineering students. Furthermore, laboratory exercises with a hybrid RC vehicle were established and tested. Student's feedback was used to optimize these new laboratory exercises in an educational manner.

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The Backoff in Intermediate Networks for a Real-Time System Embedded Ethernet

Hamzah

Nukhailawi

2022

2022 Fifth College of Science International Conference of Recent Trends in Information Technology (CSCTIT)

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Smart and Interactive Laboratory Setup to Teach Controller Area Network Protocol

Cited by 4 publications

References 11 publications

Driving the Future: Design and Implementation of an Advanced Smart Car Network Simulation Platform for Education

Driving the Future: Design and Implementation of an Advanced Smart Car Network Simulation Platform for Education

Adapting Automotive Engineering Education to Autonomous Driving Requirements

The Backoff in Intermediate Networks for a Real-Time System Embedded Ethernet

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