Abstract
Autonomous driving requirements regarding safety, redundancy and performance lead to an increasing number of on-board heterogeneous equipments (sensors, actuators and processing units). Systems with the highest levels of autonomy must handle a large number of real-life situations, some of them being quite challenging. Interactions between sensors, perception, planning, control and actuators are fundamental to ensure operational efficiency while providing both proactive safety and timeliness execution. To address these constraints, appropriate design patterns are required to implement complex and robust decisional architectures. As a matter of fact, current system vehicle standards do not address these design neither patterns nor their underlying complexity. Based on various experiences in defense and civilian domains, we will present a critical review of ongoing standard developments and propose a generic design pattern to qualify autonomous vehicles architectures.
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Abbreviations
- ADAS:
-
Advanced Driver Assistance System
- ADL:
-
Architecture Description Language
- AUTOSAR:
-
Automotrive Open System Architecture
- DDS:
-
Data Distribution Service
- GVA:
-
Generic Vehicle Architecture
- ISO26262:
-
Road Vehicles—Functional Safety
- JAUS:
-
Joint Architecture for Unmanned System
- PLEVID:
-
Platform Level Extended Video Standard
- ROS:
-
Robot Operating System
- UGV:
-
Unmanned Ground Vehicle
- US NREC:
-
US National Robotic Engineering Center
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UK Ministry of Defence, “Generic Vehicle Architecture”, NATO Defence Standard 23–09, Issue 1 Publication Date: 20 August 2010
Acknowledgments
The authors acknowledge Safran and Valeo and their management for their full support in conducting this work.
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Guettier, C., Bradai, B., Hochart, F., Resende, P., Yelloz, J., Garnault, A. (2016). Standardization of Generic Architecture for Autonomous Driving: A Reality Check. In: Langheim, J. (eds) Energy Consumption and Autonomous Driving. Lecture Notes in Mobility. Springer, Cham. https://doi.org/10.1007/978-3-319-19818-7_7
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DOI: https://doi.org/10.1007/978-3-319-19818-7_7
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