SoC approach for low cost and low power consumption based on ARM Cortex M3 according to ISO 26262

Hafiz, Muhammad Ikram; Abdelawwad, Mohamed; Müller, Waldemar; Hahn, Eike; Börcsök, Josef

doi:10.1109/ssd52085.2021.9429395

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Cited by 2 publications

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Model Based Development Methodology in Compliance with ISO 26262 for Safe Automotive ECU

Hafiz

2023

2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)

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Model Based Development Methodology in Compliance with ISO 26262 for Safe Automotive ECU

Hafiz

2023

2023 International Conference on Electrical, Computer and Energy Technologies (ICECET)

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Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing

Li,

Zhang,

Cheng

et al. 2024

J Cloud Comp

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The substantial computational demands associated with Deep Neural Network (DNN)-based camera relocalization during the reasoning process impede their integration into autonomous vehicles. Cost and energy efficiency considerations may dissuade automotive manufacturers from employing high-computing equipment, limiting the adoption of advanced models. In response to this challenge, we present an innovative edge cloud collaborative framework designed for camera relocalization in autonomous vehicles. Specifically, we strategically offload certain modules of the neural network to the server and evaluate the inference time of data frames under different network segmentation schemes to guide our offloading decisions. Our findings highlight the vital role of server-side offloading in DNN-based camera relocation for autonomous vehicles, and we also discuss the results of data fusion. Finally, we validate the effectiveness of our proposed framework through experimental evaluation.

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SoC approach for low cost and low power consumption based on ARM Cortex M3 according to ISO 26262

Cited by 2 publications

References 11 publications

Model Based Development Methodology in Compliance with ISO 26262 for Safe Automotive ECU

Model Based Development Methodology in Compliance with ISO 26262 for Safe Automotive ECU

Improving efficiency of DNN-based relocalization module for autonomous driving with server-side computing

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