Toward Real-Time and Efficient Perception Workflows in Software-Defined Vehicles
Year: 2024
Type: article
Source: IEEE Internet of Things Journal
Institutions: Wayne State University, William & Mary
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: closed
Awards: IUCRC Phase I Wayne State University: Center for Electric, Connected and Autonomous Technologies for Mobility (eCAT), CRII: CNS: Bringing Predictable Real-time Computing to Connected Autonomous Driving Systems, CRII: CSR: Towards an Edge-enabled Software-Defined Vehicle Framework for Dynamic Over-the-Air Updates, G6815591496, CNS Core: Small: Enabling Real-time, Scalable and Secure Collaborative Intelligence on the Edge
OpenAlex ID: W4404101663