Title: Software framework for runtime application monitoring of fail-safe multi-processor ADAS SoCs

Authors: Piyali Goswami; Kedar Chitnis; Brijesh Jadav; Ashish Kapania; Shiju Sivasankaran

Addresses: Embedded Processing, Texas Instruments, Bangalore, India ' Embedded Processing, Texas Instruments, Bangalore, India ' Embedded Processing, Texas Instruments, Bangalore, India ' Embedded Processing, Texas Instruments, Goleta, CA, USA ' Embedded Processing, Texas Instruments, Bangalore, India

Abstract: In advanced driver assistance systems (ADAS), it is very critical to ensure a system malfunction does not cause harm to humans (also referred to as functional safety). Malfunctions could occur due to incorrect software (SW) execution. Many techniques exist to catch systematic SW faults during software and application development. However, without run-time monitoring of key parameters, it is impossible to guarantee a fail-safe system. In this paper, we describe a software framework to monitor application statistics in heterogeneous multiprocessor SoCs targeted for fail-safe ADAS systems. With < 0.5% CPU load overhead per monitor, the proposed framework was found to accurately report statistics for a front camera analytics application.

Keywords: advanced driver assistance; runtime application monitoring; multi-processor SoC; MPSoC; safety.

DOI: 10.1504/IJITST.2017.089778

International Journal of Internet Technology and Secured Transactions, 2017 Vol.7 No.3, pp.228 - 244

Received: 20 Mar 2017
Accepted: 24 Sep 2017
Published online: 09 Feb 2018 *

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