Abstract
A control strategy to ensure the continuous surveillance of an intruder that moves from an open region to a cluttered region is presented. Long-range sensors can provide the intruder’s position while in the open region. The effectiveness of these sensors can be compromised in cluttered regions due to obstructions such as buildings and vegetation. The proposed controller guarantees that the intruder is within the sensing range of the on-board sensor of a surveillance mobile robot as the intruder crosses into the cluttered region, ensuring the continuous tracking of the intruder. The controller considers the bounds on the speed of the surveillance robot and its on-board sensor. The effectiveness of the proposed solution is showcased in simulations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Ames, A.D., Coogan, S., Egerstedt, M., Notomista, G., Sreenath, K., Tabuada, P.: Control barrier functions: theory and applications. In: 2019 18th European Control Conference (ECC), pp. 3420–3431 (2019)
Chaumette, F., Hutchinson, S.: Visual servo control I. Basic approaches. IEEE Robot. Autom. Mag. 13(4), 82–90 (2006)
Chaumette, F., Hutchinson, S.: Visual servo control II. Advanced approaches. IEEE Robot. Autom. Mag. 14(1), 109–118 (2007)
Gallego, G., et al.: Event-based vision: a survey. IEEE Trans. Pattern Anal. Mach. Intell. 44(1), 154–180 (2022)
Guerrero-Bonilla, L., Egerstedt, M., Dimarogonas, D.V.: Area defense and surveillance on rectangular regions using control barrier functions. In: 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 8166–8172 (2021)
Hu, W., Tan, T., Wang, L., Maybank, S.: A survey on visual surveillance of object motion and behaviors. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 34(3), 334–352 (2004)
Hutchinson, S., Hager, G., Corke, P.: A tutorial on visual servo control. IEEE Trans. Robot. Autom. 12(5), 651–670 (1996)
Kuutti, S., Fallah, S., Katsaros, K., Dianati, M., Mccullough, F., Mouzakitis, A.: A survey of the state-of-the-art localization techniques and their potentials for autonomous vehicle applications. IEEE IoT J. 5(2), 829–846 (2018)
Montufar, D.I., Muñoz, F., Espinoza, E.S., Garcia, O., Salazar, S.: Multi-UAV testbed for aerial manipulation applications. In: 2014 International Conference on Unmanned Aircraft Systems (ICUAS), pp. 830–835 (2014)
Scaramuzza, D., Fraundorfer, F.: Visual odometry. IEEE Robot. Autom. Mag. 18(4), 80–92 (2011)
Smeulders, A.W.M., Chu, D.M., Cucchiara, R., Calderara, S., Dehghan, A., Shah, M.: Visual tracking: an experimental survey. IEEE Trans. Pattern Anal. Mach. Intell. 36(7), 1442–1468 (2014)
Sugirtha, T., Sridevi, M.: A survey on object detection and tracking in a video sequence. In: Tiwari, R., Mishra, A., Yadav, N., Pavone, M. (eds.) Proceedings of International Conference on Computational Intelligence. AIS, pp. 15–29. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-3802-2_2
Wilson, S., et al.: The robotarium: automation of a remotely accessible, multi-robot testbed. IEEE Robot. Autom. Lett. 6(2), 2922–2929 (2021)
Xu, X.: Constrained control of input-output linearizable systems using control sharing barrier functions. Automatica 87, 195–201 (2018)
Zhang, Z., Scaramuzza, D.: A tutorial on quantitative trajectory evaluation for visual(-inertial) odometry. In: 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 7244–7251 (2018)
Zhou, H., Yang, G., Lv, H., Huang, X., Yang, H., Pang, Z.: IoT-enabled dual-arm motion capture and mapping for telerobotics in home care. IEEE J. Biomed. Health Inform. 24(6), 1541–1549 (2020)
Acknowledgments
This work was supported by the DEVCOM Army Research Laboratory DCIST Collaborative Research Alliance program W911NF-17-2-0181.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Guerrero-Bonilla, L., Nieto-Granda, C., Egerstedt, M. (2023). Ensured Continuous Surveillance Despite Sensor Transition Using Control Barrier Functions. In: Billard, A., Asfour, T., Khatib, O. (eds) Robotics Research. ISRR 2022. Springer Proceedings in Advanced Robotics, vol 27. Springer, Cham. https://doi.org/10.1007/978-3-031-25555-7_28
Download citation
DOI: https://doi.org/10.1007/978-3-031-25555-7_28
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-25554-0
Online ISBN: 978-3-031-25555-7
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)