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References [1] A. Burstein, Enumeration of Words with Forbidden Patterns, Ph.D. thesis, University of Pennsylvania, 1998. [2] D. Callan, Pattern avoidance in „flattened” partitions, Discrete Math., 309 (2009) 4187-4191. [3] W. Y. C. Chen, A. J. X. Guo, P. L. Guo, H. H. Y. Huang and T. Y. H. Liu, s-inversion sequences and P-partitions of type B, at http://arxiv.org/abs/1310.5313. [4] Q. H. Hou and T. Mansour, Kernel method and systems of functional equations with several conditions, J. Comput. Appl. Math., 235 (2011) 1205-1212. [5] S. Kitaev, Patterns in

REFERENCES Hang, P., Han, Y., Chen, X., & Zhang, B. (2018). Design of an active collision avoidance system for 4WIS-4WID electric vehicle. IFAC PapersOnLine, Vol. 51, Issue 31 , 771-777. Joukhadar, A., Issa, H., & Kalaji, Y. (2018). Design and implementation of auto car driving system with collision avoidance. Cogent Engineering, Vol. 5, Issue 1, 1-16. Megha, G., & Srivani, P. (2016). Collision avoidance in vehicles. International Journal of Advances in Electronics and Computer Science , Special Issue, 139-140. Nyamati, V., Chaudhuri, T., & Jayavel, K

References 1. Lee, S.M., Kwon, K. Y. and Joh, J. A fuzzy logic for autonomous navigation of marine vehicles satisfying COLREG guidelines[J]. International Journal of Control Automation And Systems, (2004).2, 171-181. 2. Egil Pedersen and Kinzo Inoue. Simulator Studies on a Collision Avoidance Display that Facilitates Efficient and Precise Assessment of Evasive Manoeuvres in Congested Waterways[J]. Journal of Navigation.2003(56):411-427. 3. Ming-Cheng Tsou, Sheng-Long Kao, Chien-Min Su. Decision Support from Genetic Algorithms for Ship Collision Avoidance Route

REFERENCES 1. Alajlan M., Koubaa A., Chaari I., Bennaceur H., Ammar A. (2013), Global Path Planning for Mobile Robots in Large-Scale Grid Environments using Genetic Algorithms, International Conference on Individual and Collective Behaviors in Robotics , El Mouradi Palace 5 Zone Rouristique El Kantaoui Sousse, Tunisia 2. Berisha J., Shala A., Bajrami X., Likaj R. (2016), Application of Fuzzy Logic Controller for Obstacle Detection and Avoidance on Real Autonomous Mobile Robot, 5th Mediterranean Conference on Embedded Computing MECO 2016 , Bar, Montenegro 3

References 1. Xiong Baoshun,Cui Haolin.Simulation Research on Target Path Obstacle Avoidance Planning for Express Robot. Computer Simulation,2016, 33(9):369-374. 2. Vincent T L, Cliff E M, Grantham W J, et al. Some Aspects of Collision Avoidance. Aiaa Journal, 2015, 12(12):3-4. 3. Alonso-Mora J, Naegeli T, Siegwart R, et al. Collision avoidance for aerial vehicles in multi-agent scenarios. Autonomous Robots, 2015, 39(1):101-121. 4. Nilsson J, Ödblom A C E, Fredriksson J. Worst-Case Analysis of Automotive Collision Avoidance Systems. IEEE Transactions on Vehicular

References Benjamin, M. Curcio, J. and Newman, P. (2006). Navigation of unmanned marine vehicles in accordance with the rules of the road, Proceedings of the IEEE International Conference on Robotics and Automation, Orlando, FL, USA , Vol. 70, pp. 3581–3587. Campbell, S. Naeem, W. and Irwin, G.W. (2002). A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance maneuvers, Annual Reviews in Control 36 (2): 267–283. Erol, S. Demir, M.E.B. and Eyüboǧlu, E. (2018). Analysis of ship accidents in the Istanbul strait using

. Effect of a polyphenol-rich wild bluebeny extract on cognitive perfonnanoe of mice, brain antioxidant markers and acetylcholinesterase activity. Bchav Brain Res. 2009; 198(2):352-8. 24. Varadinova M, Docheva-Drenska D, Boyadjieva N. Effects of anthocyaninson active avoidance test of rats exposed to disruption of diurnal rhythm. Am J Thcrap. 2013;20(2); 172-7. 25. Wu XL, Gu LW, Prior RL, McKay S. Characterization of anthocyanins and pro-anthocyanidins in some cultivars of Ribes, Aron b, and Sambucus and their antioxidant capacity. J Agric Food Chem. 2004

References 1. Bresciani T. (2008), Modelling, Identification and Control of a Quadrotor Helicopter, Master’s thesis, Lund University, Sweden. 2. Cieśluk J., Gosiewski Z. (2012), Vision sky detection system used to obstacle avoidance by unmanned aerial, Mechanics in Aviation XV, 2012, pp. 509-523. 3. Cieśluk J., Gosiewski Z. (2013), A Stereovision System for Real Time Obstacle Avoidance by Unmanned Aerial Vehicle, Solid State Phenomena, Vol 198, pp. 159-164. 4. Cieśluk J., Gosiewski Z. (2014), Image brightness control method used for obstacles avoidance by

REFERENCES 1. Campbell S., Naeem W., Irwin G.W.: A review on improving the autonomy of unmanned surface vehicles through intelligent collision avoidance manoeuvre . Annu. Rev. Control 2012, 36(23): pp. 267–283. 2. Simetti E., Turetta A., Casalino G.: Towards the Use of a Team of USVs for Civilian Harbour Protection: the Problem of Intercepting Detected Menaces , OCEANS 2010 IEEE – Sydney. 3. U.S.Dept. Homeland Security/U.S. Coast Guard; Navigation rules . Paradise Cay Publications, 2010. 4. Larson J., Bruch M., Halterman R., Rogers J., Webster R.: Advances in

, Environmental Modeling & Assessment , 11, pp. 387–394. Wang, J., Zhao, F., Meharg, A.A., Raab, A., Feldmann, J. & McGrath, P.S. (2002). Mechanisms of arsenic hyperaccumulation in Pteris vittata. Uptake kinetics, interactions with phosphate, and arsenic speciation, Plant Physiology , 130, pp. 1552–1561. Wong, M.H. & Bradshaw, A.D. (2002). The restoration and management of derelict land. Modern approaches, World Scientific Publishing, Singapore, Japan 2002. Wójcik, A. & Tukiendorf, A. (1995). Strategy of stress avoidance in resistance of plants to heavy metals, Wiadomości