A CAN application layer for an experimental real time obstacle detection study

Wahl, Martine; Doree, G.

doi:10.1109/itsc.2000.881068

Cited by 4 publications

(2 citation statements)

References 4 publications

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“…The placement of these object-detecting sensors and the main characteristics, such as detecting distance and the field of view, for these object-detection sensors can be seen in figure 3. All the sensors transmit data through a CAN-interface (Wahl & Doree, 2000) to the perception layer.…”

Section: Optimal Sensor Selection and Multi Sensor Assemblymentioning

confidence: 99%

Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems

Rezaei¹,

Sabzevari²

2009

Sensor and Data Fusion

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Section: Optimal Sensor Selection and Multi Sensor Assemblymentioning

confidence: 99%

Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems

Rezaei¹,

Sabzevari²

2009

Sensor and Data Fusion

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“…In fact, there have been recent examples of using fieldbuses in similar applications. 28,[44][45][46] Often, the use of a fieldbus is just targeted to simplify the interconnection of subsystems or to promote modularity by encapsulating every function in simple dedicated nodes. However, an integrated view of the distributed embedded control system is required to promote its general dissemination.…”

Section: Using Fieldbuses In the Control Of Vehiclesmentioning

confidence: 99%

Using distributed systems in real-time control of autonomous vehicles

et al. 2003

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In this paper distributed architectures for autonomous vehicles are addressed, with a special emphasis on its real-time control requirements. The interconnection of the distributed intelligent subsystems is a key factor in the overall performance of the system. To better understand the interconnection requirements, the main techniques and modules of a global navigation system are described. A special focus on fieldbuses properties and major characteristics is made in order to point out some potentialities, which make them attractive in autonomous vehicles real-time applications, either in terms of reliability as in terms of real-time restrictions.

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Environment Sensing for Advanced Driver Assistance — CARSENSE

Langheim¹

2002

Advanced Microsystems for Automotive Applications Yearbook 2002

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A CAN application layer for an experimental real time obstacle detection study

Cited by 4 publications

References 4 publications

Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems

Multisensor Data Fusion Strategies for Advanced Driver Assistance Systems

Using distributed systems in real-time control of autonomous vehicles

Environment Sensing for Advanced Driver Assistance — CARSENSE

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