H Wang, B Wang, B Liu, X Meng, G Yang - Robotics and Autonomous …, 2017 - Elsevier
This paper studies the pedestrian recognition and tracking problem for autonomous vehicles using a 3D LiDAR, a classifier trained by SVM (Support Vector Machine) is used to …
B Friedlander - Twenty-Third Asilomar Conference on Signals …, 1989 - computer.org
Detecting and segmenting moving objects in an image sequence has always been a crucial task for many computer vision applications. This task becomes especially challenging for …
The availability of relatively cheap, high-resolution digital cameras has led to an exponential increase in the capture of natural environments and their inhabitants. Video-based surveys …
P Rosenberger, MF Holder, N Cianciaruso… - Automotive and Engine …, 2020 - Springer
Validating safety is an unsolved challenge before autonomous driving on public roads is possible. Since only the use of simulation-based test procedures can lead to an …
C Benedek, D Csetverikov, Z Janko, T Sziranyi… - US Patent …, 2018 - Google Patents
The invention is a method for generating a three-dimensional model, said method comprising generating (S100), by means of a scanning device, a point set corresponding to …
In this paper, we study the problem of dynamically positioning a team of mobile robots for target tracking. We treat the coordination of mobile robots for target tracking as a joint team …
J Ćesić, I Marković, S Jurić-Kavelj… - 2014 11th International …, 2014 - ieeexplore.ieee.org
In this paper we present an algorithm for detection, extraction and tracking of moving objects using a 3D laser range sensor. First, ground extraction is performed using random sample …
This report documents and presents algorithms and procedure developed for extracting high- accuracy high-resolution trajectory data from roadside LiDAR sensors. The developed …
Detecting and segmenting moving objects in an image sequence has always been a crucial task for many computer vision applications. This task becomes especially challenging for …