Empowering the Engineering Research: In-Cabin and Around-Cabin Sensing with MATLAB

In-cabin safety has been under investigation in recent years. Relevant predevelopment research could be complicated due to unclear requirements, and therefore become data dependent. The abundant toolbox resources in MATLAB^® are used by AANA engineering teams to conduct research on in-cabin sensing projects, e.g., occupant classification and in-cabin localization for removable equipment. In this session, AANA shares how using MATLAB could help accelerate the in-cabin engineering research, specifically when neural network techniques are involved. The Deep Network Designer app (from Deep Learning Toolbox™) makes the research process painless when dealing with large amounts of data.