Physical Invariant Based Attack Detection for Autonomous Vehicles: Survey, Vision, and Challenges

Akowuah, Francis; Kong, Fanxin

doi:10.1109/metrocad51599.2021.00014

Cited by 14 publications

(2 citation statements)

References 38 publications

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“…In the realm of addressing non-functional requirements, specific scholarly works have transcended conventional boundaries. In particular, Akowuah et al [11] intricated the arena of security concerns and the encompassment of security attacks. These attacks underwent a meticulous scrutiny, and the resultant challenges were meticulously articulated.…”

Section: Related Workmentioning

confidence: 99%

“…Driver interaction: In mixed traffic conditions, safety control is difficult due to the unpredictability of drivers [11]. Therefore, it is necessary to add parameters such as the reaction time of drivers, the possibility of a delay in the drivers' reaction, and other parameters to determine a way for their cooperation, taking into account any uncertain maneuvers of the drivers [71].…”

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confidence: 99%

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Artificial Intelligence and Software Modeling Approaches in Autonomous Vehicles for Safety Management: A Systematic Review

Abbasi,

Rahmani

2023

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Autonomous vehicles (AVs) have emerged as a promising technology for enhancing road safety and mobility. However, designing AVs involves various critical aspects, such as software and system requirements, that must be carefully addressed. This paper investigates safety-aware approaches for AVs, focusing on the software and system requirements aspect. It reviews the existing methods based on software and system design and analyzes them according to their algorithms, parameters, evaluation criteria, and challenges. This paper also examines the state-of-the-art artificial intelligence-based techniques for AVs, as AI has been a crucial element in advancing this technology. This paper reveals that 63% of the reviewed studies use various AI methods, with deep learning being the most prevalent (34%). The article also identifies the current gaps and future directions for AV safety research. This paper can be a valuable reference for researchers and practitioners on AV safety.

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Section: Related Workmentioning

confidence: 99%

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confidence: 99%