Collision detection of two fast moving objects

2015 ◽  
Author(s):  
Sang Yang ◽  
Eric Uthoff ◽  
Kristin Wortman
Keyword(s):  
Collision Detection ◽  
Fast Moving ◽  
Moving Objects

Robust Autonomous Car-Like Robot Tracking Based on Tracking-Learning-Detection

2014 ◽  
Vol 687-691 ◽  
pp. 564-571 ◽  
Author(s):  
Lin Bao Xu ◽  
Shu Ming Tang ◽  
Jin Feng Yang ◽  
Yan Min Dong
Keyword(s):  
Optical Flow ◽  
Fast Moving ◽  
Moving Objects ◽  
Tracking Algorithm ◽  
Robust Tracking ◽  
Symmetry Detection ◽  
Tracking Method ◽  
Robot Tracking ◽  
Improve Accuracy ◽  
First Time

This paper proposes a robust tracking algorithm for an autonomous car-like robot, and this algorithm is based on the Tracking-Learning-Detection (TLD). In this paper, the TLD method is extended to track the autonomous car-like robot for the first time. In order to improve accuracy and robustness of the proposed algorithm, a method of symmetry detection of autonomous car-like robot rear is integrated into the TLD. Moreover, the Median-Flow tracker in TLD is improved with a pyramid-based optical flow tracking method to capture fast moving objects. Extensive experiments and comparisons show the robustness of the proposed method.

A Hierarchy of Oct-Sphere Model and its Application in Collision Detection

1994 ◽  
Author(s):  
Heming Yang ◽  
Xinfang Zhang ◽  
Ji Zhou ◽  
Jun Yu
Keyword(s):  
Collision Detection ◽  
Moving Objects ◽  
Interference Detection ◽  
Effective Algorithm ◽  
Sphere Model ◽  
Spherical Region ◽  
New Model

Abstract Collision and interference detection among 3-D moving objects is an important issue in the simulation of their behavior. This paper presents a new model for representing 3-D objects and a corresponding effective algorithm for detecting collisions and interferences among moving objects. Objects can be represented for efficient collision and interference detection by a hierarchy of oct - sphere model (HOSM). Algorithms are given for building the HOSM and for detecting collisions and interferences between moving objects. On the basis of HOSM, the algorithm checks only intersections between the nodes of the models which are on the surfaces of the objects. Furthermore, because a node of HOSM represents a spherical region, the collision between the two nodes can be easily found just by calculating the distance between the centers of the two spheres corresponding to them no matter how the objects move. Finally, we discuss the efficiency of the algorithm through an example.

Can We Apply Clustering in Fast Moving Objects?

2015 ◽  
pp. 76-84
Author(s):  
Victor Sucasas ◽  
Ayman Radwan ◽  
Hugo Marques ◽  
Jonathan Rodriguez ◽  
Seiamak Vahid ◽  
...  
Keyword(s):  
Fast Moving ◽  
Moving Objects

Resolution Analysis of Passive Synthetic Aperture Imaging of Fast Moving Objects

2017 ◽  
Vol 10 (2) ◽  
pp. 665-710 ◽  
Author(s):  
L. Borcea ◽  
J. Garnier ◽  
G. Papanicolaou ◽  
K. Solna ◽  
C. Tsogka
Keyword(s):  
Fast Moving ◽  
Moving Objects ◽  
Synthetic Aperture ◽  
Synthetic Aperture Imaging ◽  
Resolution Analysis
Sign in / Sign up

Export Citation Format

Share Document