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Trajectory planning method based on expected redundancy

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DOI: 10.23977/jaip.2020.040107 | Downloads: 4 | Views: 743

Author(s)

Chong Zhao 1, Lihong Du 1, Tingkai Li 1, Qi Dai 1

Affiliation(s)

1 Rocket Army Engineering University, 710038

Corresponding Author

Chong Zhao

ABSTRACT

The problem background of this question is that the aircraft cannot ideally correct the error at some calibration points, that is, it cannot correct a certain error to 0, but correct it to a certain unit with a certain probability, and there will be residual errors after the correction. In fact, compared with Question 1, this question weakens the correction capabilities of some nodes, leading to stricter error constraints, and the actual reachable set of nodes becomes smaller. On the whole, it strengthens the error constraints in trajectory planning. In this way, for the trajectory that has been planned in question 1, in the context of this question, whether the aircraft can successfully reach point B from point A has become an uncertain probability problem. The title requires that the trajectory in question 1 should be re-examined in this context, and a trajectory with the greatest possible probability of reaching the destination can be planned.

KEYWORDS

Trajectory planning, Expect redundancy, Aircraft

CITE THIS PAPER

Chong Zhao, Lihong Du, Tingkai Li, Qi Dai. Trajectory planning method based on expected redundancy. Journal of Artificial Intelligence Practice (2021) Vol. 4: 59-62. DOI: http://dx.doi.org/10.23977/jaip.2020.040107.

REFERENCES

[1] Alsalam BHY, Morton K, Campbell D, et al. Autonomous UAV with vision based on-board decision making for remote sensing and precision agriculture [C]// 2017 IEEE Aerospace Conference. IEEE, 2017. 
[2] Ramirez Atencia C, Bello Orgaz G, R-Moreno, María D, et al.Solving complex multi-UAV mission planning problems  using multi-objective genetic algorithms [J]. Soft Computing, 2016. 
[3] Díaz-Varela Ramón, de la Rosa Raúl, León Lorenzo, et al. High-Resolution Airborne UAV Imagery to Assess Olive Tree Crown Parameters Using 3D Photo Reconstruction: Application in Breeding Trials [J]. Remote Sensing, 2019, 7(4): 4213-4232. 
[4] Grippa.P.Decision making in a UAV-based delivery system with impatient customers [C]// IEEE/RSJ International Conference on Intelligent Robots & Systems. IEEE, 2016. 
[5] Tao T, Jia R.UAV decision-making for maritime rescue based on Bayesian Network [C] //International Conference on Computer Science & Network Technology. IEEE, 2012.

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