Automatic Parking Controller with a Twin Artificial Neural Network Architecture

Table 3

Success rate of automatic parking depending on test conditions.

Test condition	Kinematic parameters of main/virtual vehicle (L/lw)	Initial heading angle (°)	No. of test	No. of successes	No. of failures	Success rate (%)
Case 1	(3.6/2.52)/(3.6/2.52)	±0	10,000	9,941	59	99.4
Case 2	(3.4/2.38)/(3.4/2.38)	±0	10,000	9,901	99	99.0
Case 3	(3.8/2.66)/(3.8/2.66)	±0	10,000	9,546	454	95.5
Case 4	(3.4/2.38)/(3.6/2.52)	±0	10,000	9,978	22	99.8
Case 5	(3.6/2.52)/(3.6/2.52)	+3	10,000	9,799	201	98.0
Case 6	(3.6/2.52)/(3.6/2.52)	+5	10,000	9,436	574	94.4