Modern autonomous vehicles rely heavily on mechanical LiDARs for perception. Current perception methods generally require $360^\circ$ point clouds, collected sequentially as the LiDAR scans azimuth and acquires consecutive wedge-shaped ...

We consider a novel problem where multiple rigid convex polygonal objects rest in randomly placed positions and orientations on planar surface visible from an overhead camera. The objective is to efficiently grasp transport all into bin using multi-object push-grasps, are pushed together facilitate grasping. provide necessary conditions for frictionless push-grasps apply these filter inadmissib...

The article presents a mathematical model of multi-stage game the process safe control transport object in possible collision situations with other encountered objects, containing description state variables, and constraints, sets permissible strategies. Multi-criteria optimization tasks were formulated form positional matrix games under conditions playing non-cooperative cooperative as well no...

This paper presents a method for video sequence coding, using motion estimation over a triangular object-based mesh. We introduce a novel “crack line” notion to deal with motion discontinuities and to improve representation scalability. The optimization of the nodal motion vectors is performed by means of a multi-resolution differential method, further improved by “backward in forward” tracking...

In dynamic software development, organize the optimization of the usage of resources in order to deliver the product within the finite time is an essential and computational challenging task. Certain robust methods are required to fulfill the requirement of the users to prevent or repair the software faults especially object communications when they are required to inherit in diverse natures. I...

We present a method for fully automatic segmentation of the bones and cartilages of the human knee from MRI data. Based on statistical shape models and graph-based optimization, first the femoral and tibial bone surfaces are reconstructed. Starting from the bone surfaces the cartilages are segmented simultaneously with a multi object technique using prior knowledge on the variation of cartilage...

High-performance event filtering is an essential service in a distributed processing environment. We are developing an object-oriented event filtering framework to efficiently process the large volume of event traffic generated by dynamic multi-point (DMP) applications (such as automated fault management in telecommunication systems). Our framework, which is based on CORBA, supports the automat...

This paper presents a probabilistic framework for robust recovery of dense 3D shape, motion, texture and lighting from monocular image streams. We assume that the object is smooth, Lambertian, illuminated by one distant light source, and subject to smoothly-varying rigid motion. The problem is formulated as a MAP estimation problem in which all shape, motion, noise variances and outlier probabi...