Proposal of warning methods for rear obstacle warning system using sensor recognition reliability

Driver´s workload tends to be increased during driving under complicated traffic environments like a lane change. In such cases, rear collision warning is effective for reduction of cognitive workload. On the other hand, it is pointed out that false alarm or missing alarm caused by sensor errors leads to decrease of driver´s trust in the warning system and it can result in low efficiency of the system. Suppose that information of the recognition reliability of the sensor is provided in real-time. In this paper, we propose new warning methods to increase driver´s trust in the system even with low sensor reliability by utilizing sensor recognition reliability The effectiveness of the warning methods is shown by driving simulator experiments.