Stochastic multi-object guidance laws for interception and rendezvous problems

3) Choose each object by clicking it and do region growing starts from the click position. Take minimum and maximum value of hue, saturation and value. Calculate

Abstract: This paper presents a guidance algorithm solving the problem of moving path following, that is, steering a mobile robot to a curvilinear path attached to a moving frame..

A non- standard feature of the problem is that the capacity reduction due to reference changes is not modeled by setup costs but instead by an explicit upper bound on the total

In a general way, according to the performance metrics used, IBEA avg glob- ally outperforms IBEA 1 and IBEA stoch for all probability distributions (except for the first

From the mathematical point of view, this is an extension of the stochastic target problem under controlled loss, studied in Bouchard, Elie and Touzi (2009), to the case of

The literature includes a number of different ap- proaches to tackling the object localization and track- ing problem. SLAM-like approaches can be used to characterize the static

A stereo feature can be predicted after a 3D motion of the vision system by using a warping function [8] based on geometrical constraints. These constraints are induced by the

1 Examples of autonomous vehicles. 14 2 Examples of Advanced Driver Assistance Systems. 20 1.2 Field-of-view coverage of the experimental vehicle. 21 1.3 Laser range finder