notesum.ai

Published at November 21

Landing Trajectory Prediction for UAS Based on Generative Adversarial Network

cs.RO

cs.AI

Released Date: November 21, 2024

Authors: Jun Xiang¹, Drake Essick¹, Luiz Gonzalez Bautista¹, Junfei Xie¹, Jun Chen¹

Aff.: ¹San Diego State University, San Diego, CA 92182

Arxiv: http://arxiv.org/abs/2411.14403v1

Refer to caption

	vertical		linear		real
method	GAN	GMR	GAN	GMR	GAN	GMR
point1	7.13 $\pm$ 2.13	8.61 $\pm$ 3.53	5.01 $\pm$ 2.25	6.17 $\pm$ 2.51	0.10 $\pm$ 0.05	0.15 $\pm$ 0.06
point2	9.11 $\pm$ 4.2	11.12 $\pm$ 4.87	7.31 $\pm$ 3.44	9.1 $\pm$ 3.86	0.11 $\pm$ 0.04	0.18 $\pm$ 0.07
point3	10.83 $\pm$ 4.96	12.49 $\pm$ 5.52	8.93 $\pm$ 4.55	10.05 $\pm$ 4.5	0.11 $\pm$ 0.03	0.22 $\pm$ 0.09
point4	12.11 $\pm$ 5.56	14.04 $\pm$ 5.73	10.4 $\pm$ 5.33	11.28 $\pm$ 5.19	0.12 $\pm$ 0.03	0.23 $\pm$ 0.12
point5	12.99 $\pm$ 5.92	14.3 $\pm$ 5.81	11.88 $\pm$ 6.12	11.72 $\pm$ 5.25	0.13 $\pm$ 0.04	0.23 $\pm$ 0.09
point6	13.44 $\pm$ 6.32	14.19 $\pm$ 5.67	12.67 $\pm$ 6.4	12.57 $\pm$ 6.13	0.14 $\pm$ 0.04	0.23 $\pm$ 0.11
point7	14.79 $\pm$ 6.76	13.99 $\pm$ 5.69	14.07 $\pm$ 6.51	12.45 $\pm$ 5.69	0.15 $\pm$ 0.05	0.23 $\pm$ 0.1
point8	15.06 $\pm$ 7.09	12.52 $\pm$ 5.81	14.97 $\pm$ 7.68	12.27 $\pm$ 5.41	0.14 $\pm$ 0.06	0.24 $\pm$ 0.1
point9	15.02 $\pm$ 6.97	10.92 $\pm$ 4.07	16.04 $\pm$ 8.53	11.46 $\pm$ 5.62	0.14 $\pm$ 0.07	0.21 $\pm$ 0.16
point10	14.88 $\pm$ 8.41	9.0 $\pm$ 3.69	17.01 $\pm$ 8.97	10.93 $\pm$ 5.72	0.18 $\pm$ 0.08	0.24 $\pm$ 0.21