FIG. 13 shows exemplary data collected from sensing module 1301 such as image data, video data, and vehicle status data. The data is divided into two groups by the data allocation module 1302: large parallel data and advanced control data. The data allocation module 1302 decides how to assign the data 1309 with the computation resources 1303, which are graphic processing units (GPUs) 1304 and central processing units (CPUs) 1305. Processed data 1310 is sent to prediction 1306, planning 1307, and decision making modules 1308. The prediction module provides results to the planning module 1311, and the planning module provides results 1312 to the decision making module.
FIG. 14 shows how exemplary data collected from OBUs and RSUs together with control targets and traffic information from upper level IRIS TCC/TCC network 1402 are provided to a TCU. The lane management module of a TCU produces lane management and vehicle control instructions 1403 for a vehicle control module and lane control module.
FIG. 15 shows exemplary data flow for vehicle control in adverse weather. Table 1, below, shows approaches for measurement of adverse weather scenarios.
TABLE 1
IRIS Measures for Adverse Weather Scenarios
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