Motion planners for autonomous driving improve traffic safety through collision-free motion generation along the path.However, conventional motion planners render passengers uncomfortable as a result of jerky motion.To overcome this, we propose a model predictive control (MPC) based motion planner that not only ensures safety but also improves driv
Cesar Bustos,1 Aitziber Aguinaga,1 Francisco Carmona-Torre,2 Jose Luis Del Pozo1,3 1Department of Clinical Microbiology, 2Department of Internal Medicine, 3Division of Infectious Diseases, Clinica Universidad de Navarra, Pamplona, Spain Abstract: Large Door Bookcase Since the first description in 1982, totally implanted venous access ports have pro
The nature of business environment in airports has made speed of operations crucial.From this standpoint, check-in areas in airports have become the most important place for monitoring the speed of operations.Airline companies offer many methods for check-in processes to the passengers and Printer Stand along with that there has been a huge increas
This work is mainly focused on the series of dynamical analysis of tritrophic food chain model with Sokol-Howell functional response, incorporating the multiple gestation time delays for more realistic formulation.Basic properties of the proposed model are studied with the help of boundedness, stability analysis, and Hopf-bifurcation theory.By choo