A Fail-Operational Control Architecture Approach and Dead-Reckoning Strategy in Case of Positioning Failures

Author:

Matute-Peaspan Jose AngelORCID,Perez JoshueORCID,Zubizarreta AsierORCID

Abstract

Presently, in the event of a failure in Automated Driving Systems, control architectures rely on hardware redundancies over software solutions to assure reliability or wait for human interaction in takeover requests to achieve a minimal risk condition. As user confidence and final acceptance of this novel technology are strongly related to enabling safe states, automated fall-back strategies must be assured as a response to failures while the system is performing a dynamic driving task. In this work, a fail-operational control architecture approach and dead-reckoning strategy in case of positioning failures are developed and presented. A fail-operational system is capable of detecting failures in the last available positioning source, warning the decision stage to set up a fall-back strategy and planning a new trajectory in real time. The surrounding objects and road borders are considered during the vehicle motion control after failure, to avoid collisions and lane-keeping purposes. A case study based on a realistic urban scenario is simulated for testing and system verification. It shows that the proposed approach always bears in mind both the passenger’s safety and comfort during the fall-back maneuvering execution.

Funder

Electronic Components and Systems for European Leadership

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference37 articles.

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Sensor Fusion-Based Localization Framework for Autonomous Vehicles in Rural Forested Environments;2023 IEEE 26th International Conference on Intelligent Transportation Systems (ITSC);2023-09-24

2. Fail-Safe Decision Architecture for Positioning Failures on Automated Vehicles;2023 IEEE Smart World Congress (SWC);2023-08-28

3. The Challenges of Driving Mode Switching in Automated Vehicles: A Review;IEEE Transactions on Vehicular Technology;2023

4. A Reconfigurable Framework for Vehicle Localization in Urban Areas;Sensors;2022-03-28

5. DVL Dead-Reckoning Navigation Method Based on Beam Measurements;Lecture Notes in Electrical Engineering;2021-10-30

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