Journal Article

FZJ-2024-00958

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Research Challenges for Energy-Efficient Computing in Automated Vehicles

Dick, R. P. ; Aitken, R. ; Mogill, J. ; Strachan, J. P.FZJ* ; Bresniker, K. ; Lu, W. ; Nakahira, Y. ; Li, Z. ; Marinella, M. J. ; Severa, W. ; Talin, A. A. ; Vineyard, C. M. ; Kumar, S. ; Mailhiot, C. ; Klebanoff, L.

2023
IEEE Computer Soc. Publ. Off. ˜Losœ Alamitos, Calif.

This record in other databases:  

Please use a persistent id in citations: doi:10.1109/MC.2022.3180987

Abstract: Fully automated retail vehicles will have stringent, real-time operational safety, sensing, communication, inference, planning, and control requirements. Meeting them with existing technologies will impose prohibitive energy-provisioning and thermal management requirements. This article summarizes the research challenges facing the designers of computationally energy-efficient, economical, safe, and reliable automated retail vehicles.

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Contributing Institute(s):

1. Neuromorphic Compute Nodes (PGI-14)

Research Program(s):

1. 5234 - Emerging NC Architectures (POF4-523) (POF4-523)

Appears in the scientific report 2024

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Database coverage:
; Clarivate Analytics Master Journal List ; Current Contents - Engineering, Computing and Technology ; Ebsco Academic Search ; Essential Science Indicators ; IF < 5 ; JCR ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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