Transactions of Society of Automotive Engineers of Japan
Online ISSN : 1883-0811
Print ISSN : 0287-8321
ISSN-L : 0287-8321
Paper
Proposal and Prototyping of Automotive Computing Platform with Quantum inspired Processing Unit
Koji OyaHiroshi FujimotoYohei HamakawaMasaya YamasakiKosuke Tatsumura
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2023 Volume 54 Issue 6 Pages 1216-1221

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Abstract
As an automotive computing platform for solving combinatorial optimization problems in real-time, novel automotive computer architecture which has Quantum inspired Processing Unit (QiPU) is proposed. A prototype of Simulated Bifurcation Machine (SBM; one of Quantum inspired machines), which can execute Multiple Object Tracking (MOT) in real-time by collaborating with AI calculation, was implemented in an automotive mass production FPGA and verified. As a result, the compatibility for autonomous driving system and the effectiveness in the MOT application is proven by evaluation.
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© 2023 Society of Automotive Engineers of Japan, Inc.
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