Abstract
Many aerial applications require unmanned aerial systems operate in safe zones because of the presence of obstacles or security regulations. It is a non-trivial task to generate a smooth trajectory satisfying both dynamic constraints and motion limits of the unmanned vehicles while being inside the safe zones. Then the task becomes even more challenging for real-time applications, for which computational efficiency is crucial. In this study, we present a safe flying corridor navigation method, which combines jerk limited trajectories with an efficient testing method to update the position setpoints in real time. Trajectories are generated online and incrementally with a cycle time smaller than 10 μs, which is exceptionally suitable for vehicles with limited onboard computational capability. Safe zones are represented with multiple interconnected bounding boxes which can be arbitrarily oriented. The jerk limited trajectory generation algorithm has been extended to cover the cases with asymmetrical motion limits. The proposed method has been successfully tested and verified in flight simulations and actual experiments.
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References
Ang KZY, Dong XX, Liu WQ, et al., 2018. High-precision multi-UAV teaming for the first outdoor night show in Singapore. Unmanned Syst, 6(1):39–65. https://doi.org/10.1142/S2301385018500036
Chen J, Shen SJ, 2017. Improving octree-based occupancy maps using environment sparsity with application to aerial robot navigation. Proc IEEE Int Conf on Robotics and Automation, p.3656–3663. https://doi.org/10.1109/ICRA.2017.7989419
Ezair B, Tassa T, Shiller Z, 2014. Planning high order trajectories with general initial and final conditions and asymmetric bounds. Int J Rob Res, 33(6):898–916. https://doi.org/10.1177/0278364913517148
Florence P, Carter J, Tedrake R, 2016. Integrated perception and control at high speed: evaluating collision avoidance maneuvers without maps. Proc 12th Int Workshop on the Algorithmic Foundations of Robotics.
Gao F, Lin Y, Shen SJ, 2017. Gradient-based online safe trajectory generation for quadrotor flight in complex environments. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.3681–3688. https://doi.org/10.1109/IROS.2017.8206214
Haschke R, Weitnauer E, Ritter H, 2008. On-line planning of time-optimal, jerk-limited trajectories. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.3248–3253. https://doi.org/10.1109/IROS.2008.4650924
Hehn M, D’Andrea R, 2015. Real-time trajectory generation for quadrocopters. IEEE Trans Rob, 31(4):877–892. https://doi.org/10.1109/TRO.2015.2432611
Kröger T, 2011. Opening the door to new sensor-based robot applications—the reflexxes motion libraries. Proc IEEE Int Conf on Robotics and Automation, p.1–4. https://doi.org/10.1109/ICRA.2011.5980578
Kröger T, Wahl FM, 2010. Online trajectory generation: basic concepts for instantaneous reactions to unforeseen events. IEEE Trans Rob, 26(1):94–111. https://doi.org/10.1109/TRO.2009.2035744
Lai SP, Wang KL, Qin HL, et al., 2016. A robust online path planning approach in cluttered environments for micro rotorcraft drones. Contr Theory Technol, 14(1):83–96. https://doi.org/10.1007/s11768-016-6007-8
Lai SP, Lan ML, Chen BM, 2018. Optimal constrained trajectory generation for quadrotors through smoothing splines. Proc IEEE/RSJ Int Conf on Intelligent Robots and Systems, p.4743–4750. https://doi.org/10.1109/IROS.2018.8594357
Liu SK, Watterson M, Mohta K, et al., 2017. Planning dynamically feasible trajectories for quadrotors using safe flight corridors in 3-D complex environments. IEEE Rob Autom Lett, 2(3):1688–1695. https://doi.org/10.1109/LRA.2017.2663526
Lopez BT, How JP, 2017. Aggressive 3-D collision avoidance for high-speed navigation. Proc IEEE Int Conf on Robotics and Automation, p.5759–5765. https://doi.org/10.1109/ICRA.2017.7989677
Peng KM, Lin F, Chen BM, 2017. Online schedule for autonomy of multiple unmanned aerial vehicles. Sci China Inform Sci, 60(7):072203. https://doi.org/10.1007/s11432-016-9025-9
Ren M, Huo XH, 2010. Asynchronous double-precision windows based unmanned aerial vehicle real-time path planning. Sci China Inform Sci, 53(2):215–222. https://doi.org/10.1007/s11432-010-0043-7
Wang KL, Ke YJ, Chen BM, 2017. Autonomous reconfigurable hybrid tail-sitter UAV U-Lion. Sci China Inform Sci, 60(3):033201. https://doi.org/10.1007/s11432-016-9002-x
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Lai, Sp., Lan, Ml., Li, Yx. et al. Safe navigation of quadrotors with jerk limited trajectory. Frontiers Inf Technol Electronic Eng 20, 107–119 (2019). https://doi.org/10.1631/FITEE.1800719
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DOI: https://doi.org/10.1631/FITEE.1800719