Information Fusion Technologies for i-EFV

Accurate identification of vehicle states and complex driving environment states is the necessary information base for i-EFV to carry out safe and energy-saving controls. For i-EFV that integrates complex electromechanical systems, faces time-varying traffic environment and implements multi-performance objective control, there are three main problems in the comprehensive identification vehicle states and environment information: (1) the large amount of information data obtained based on V2V communication, V2I communication, remote wireless communication and onboard sensing system is overlapping and redundant, which needs integrated analysis and processing to form a unified description of vehicle and environment; (2) the vehicle driving environment is complex and changeable, and the information obtained from existing sensing systems is seriously disturbed, which makes it necessary to obtain accurate object information based on the characteristics of redundancy of multi-source sensors; (3) the accurate information on the characteristics of driver-vehicle-road traffic environment cannot be obtained directly through the sensors, which makes it necessary to fuse multi-source information and conduct comprehensive analysis. Therefore, in order to effectively use the multi-source and redundant data information to accurately identify and predict vehicle state and traffic environment, a systematic signal processing method is required.