Search results for "Trajectory optimization"

showing 4 items of 4 documents

Connected and Autonomous Vehicles cooperate with the pedestrian in industrial sites based on trajectory optimization and vehicle signalization system

2020

Connected and autonomous vehicles (CAV) is the development trend in the field of transportation systems. Recent studies show that the resources sharing between pedestrians and CAV is a big challenge. Considering traffic safety and efficiency at that sharing point not only requires a collision avoidance system but also more communicative behaviors of the CAV. More precisely, pedestrian needs to understand the intention of the incoming CAV whether it will cross first or not according to its speed profile. This paper uses the optimal trajectory control to provide CAV with a communicative behavior. A scenario where CAV and pedestrian cooperate together to cross a conflict zone is studied. A com…

Linear programmingComputer scienceControl (management)Real-time computingCollision avoidance systemTrajectory optimizationPedestrianVirtual realityOptimal controlField (computer science)2020 IEEE Intelligent Vehicles Symposium (IV)
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Synergic algorithms for the planning and the intelligent following of a trajectory for non-holonomic vehicles

2008

Although there are many studies about two wheels non-holonomic vehicles, in order to simplify the problem the planning and the following of trajectories or paths are generally considered two different phases. In this paper, two algorithms for the synergic working of trajectory planning with intelligent trajectory following are presented. The "trajectory shape" characteristics obtained in the planning phase are used for the efficient trajectory following. From the shape, in order to follow the trajectory, an intelligent controller calculates, without further elaboration, the reference wheels velocity of the vehicle. The knowledge of trajectory shape characteristics and curvature constraints …

Engineeringbusiness.industryHolonomicPath followingControl engineeringTrajectory optimizationCurvatureComputer Science::RoboticsSettore ING-INF/04 - AutomaticaControl theoryTrajectory planningAlgorithms Planning Intelligent Following Trajectorynon-holonomic VehicleTrajectoryMotion planningbusinessAlgorithm2008 IEEE International Conference on Industrial Technology
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Solving chance constrained optimal control problems in aerospace via Kernel Density Estimation

2017

International audience; The goal of this paper is to show how non-parametric statistics can be used to solve some chance constrained optimization and optimal control problems. We use the Kernel Density Estimation method to approximate the probability density function of a random variable with unknown distribution , from a relatively small sample. We then show how this technique can be applied and implemented for a class of problems including the God-dard problem and the trajectory optimization of an Ariane 5-like launcher.

[ MATH.MATH-OC ] Mathematics [math]/Optimization and Control [math.OC]Mathematical optimizationControl and Optimizationchance constrained optimizationKernel density estimation0211 other engineering and technologiesProbability density function02 engineering and technology01 natural sciencesKernel Density Estimation010104 statistics & probability0101 mathematicsMathematics021103 operations researchApplied MathematicsConstrained optimizationTrajectory optimizationstochastic optimizationOptimal controlOptimal controlDistribution (mathematics)Aerospace engineeringControl and Systems EngineeringStochastic optimization[MATH.MATH-OC]Mathematics [math]/Optimization and Control [math.OC]Random variableSoftware
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Autonomous vehicle with communicative driving for pedestrian crossing: Trajectory optimization

2020

Connected and autonomous vehicles (CAV) is a key technology for this century. One of the main challenges is to define a smart interaction behavior of CAV with the other road users. The challenge is mainly raised at conflicting points where path of CAV intersects with the other users. Recent studies show interaction with humans is a big challenge. It not only requires a collision avoidance system but also more communicative behaviors of the CAV. More precisely, pedestrian needs to understand the intention of the incoming CAV whether it will cross first or not according to its speed profile. One way to overcome this issue is to design optimal trajectory control of the CAV that matches with th…

050210 logistics & transportation0209 industrial biotechnologyComputer science05 social sciences02 engineering and technologyTrajectory optimizationPedestrian crossingPetri netOptimal controlVehicle dynamics020901 industrial engineering & automationHuman–computer interaction0502 economics and businessPath (graph theory)TrajectoryCollision avoidance system2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
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