Safety, ADAS, and Cybersecurity: Vol. 1

EPRCOMPV152023

05/03/2024

Authors Abstract
Content
This chapter delves into the field of multi-agent collaborative perception (MCP) for autonomous driving: an area that remains unresolved. Current single-agent perception systems suffer from limitations, such as occlusion and sparse sensor observation at a far distance. To address this, three unsettled topics have been identified that demand immediate attention. First, it is crucial to establish normative communication protocols to facilitate seamless information sharing among vehicles. Second, collaboration strategies need to be defined, including identifying the need for specific collaboration projects, determining the collaboration partners, defining the content of collaboration, and establishing the integration mechanism. Finally, collecting sufficient data for MCP model training is vital. This includes capturing diverse modal data and labeling various downstream tasks as accurately as possible.
Meta TagsDetails
Pages
84
Citation
Chen, G., Chalmers, S., and Zheng, L., "Safety, ADAS, and Cybersecurity: Vol. 1," SAE Technical Paper EPRCOMPV152023, 2024, .
Additional Details
Publisher
Published
May 03
Product Code
EPRCOMPV152023
Content Type
Reference
Language
English